What are we looking for? We are looking for a full-stack software engineer who specializes in infrastructure. What are examples of projects you’d lead? You could build and maintain infrastructure to support 1000s of concurrently running dev machines 100s of thousands of concurrent websockets connections our internal AI agent evals backend and database management for 100s of thousands of users apps internal rules, styles guides, and other prompts for our coding assistants like Claude Code and Cursor What skills do we expect of all Hercules engineers to have? We expect all software engineers at Hercules to be incredibly strong in system design and architecture across infrastructure, data modeling, API design, and monorepos be able to truly 10x their workflow with AI coding tools while also maintaining high code quality have a good product sense with a clear background shipping to customers and iterating have a strong experience in Typescript, React, Git, containers, Postgres, and Redis talk with users, come up with new ideas autonomously, and ship! What additional skills do we expect you to have for this specific role? We expect infra engineers to have strong experience building/maintaining all of the following: IAM: OIDC, Oauth, API keys, permissions (Ideal: SAML/SSO, SCIM) IaC: e.g: CDK, Terraform Containerization: Docker, (Ideal: Cloudflare workers, Serverless) Observability: Otel, logging, tracing Security and privacy: gdpr, soc2, iso, audit Database: Blob storage (S3 and R2), Postgres, Redis, Clickhouse Protocols: OpenAPI, (Ideal: GRPC/Protobufs) DB schema design for RDBMS and OLAP Async backend jobs: Queues, workflows General microservice and distributed systems knowledge What’s Hercules’ stack? Languages: React, Typescript, AI SDK, Postgres, Redis, Clickhouse, Tailwind, IaC (CDK, Terraform), Docker, Otel, Hono, Drizzle ORM Clouds: Cloudflare, AWS AI Models: OpenAI, Anthropic, Google What are Hercules’ operating principles? Hercules’ operating principles guide how we make decisions every day. We take them very seriously. Most of them are specifically choices that we as a company unique prioritize and so can be learned on the job. However, we do specifically filter for these principles our hiring process: We move with urgency . We ship fast, iterate, and correct mistakes quickly. Our bias for action speeds our learning and delights our customers. We strive for excellence. Doing things well is in our DNA. We have good taste. We get the details right. Our outputs are exceptionally simple and self-serve. We’re proud of our work. We are hungry . We are willing to work hard and break through walls to achieve the outcomes we want. We are willing to operate at any level to get things done. We are politely relentless. Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny and Bush). We have a very strong preference for in office. We are open to remote for exceptional candidates in US time zones who would be willing/able to travel to the office regularly. What are Hercules’ benefits? Healthcare, vision, and dental Use whatever AI productivity tools you’d like Take what you need vacation policy Daily lunches, dinners and snacks in the office We guarantee you will do the best work of your career here What’s the compensation? $100k-$250k + equity (depends on seniority, equity, and location) Read Less

About Persona Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder — but more important — than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly. We’ve built Persona to support practically every use case and industry — that’s why we’re able to serve a wide range of leading companies. For example, Reddit relies on Persona for age assurance and verification to comply with online safety regulations, protecting younger users while maintaining a seamless experience. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world’s most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live. We’re growing rapidly and looking for exceptional people to join us! About the role The Engineering Internal Velocity (EIV) team empowers engineers to ship high-quality software faster and with greater confidence. As a Software Engineer on EIV, you'll drive end-to-end initiatives that eliminate friction across the development workflow where you focus on Deploys, Continuous Integration (CI), Development Environment (DevEnv), and critical dependency management. You'll own meaningful improvements to pipeline reliability and turnaround time, directly accelerating how quickly the entire engineering organization can deliver value to customers. What you’ll do at Persona Own and evolve the core systems that enable Persona engineers to build, test, and deploy software, shaping how work moves from code to our customers. Build and scale developer tooling, CI, and deployment infrastructure that reduces friction, increases reliability, and helps teams move with confidence. Act as a force multiplier for engineering teams by removing bottlenecks, standardizing best practices, and improving the day-to-day developer experience across the company. Drive improvements in engineering velocity and system health using instrumentation, data, and automation to inform decisions. Collaborate with product, engineering, and security partners to embed safety, reliability, and scalability into everyday development practices. What you’ll bring to Persona 2+ years of software engineering experience or equivalent practical experience. Experience improving developer tooling, CI/CD pipelines, or internal platforms with reliability and usability in mind. Hands-on experience with multi-regional applications employing background jobs and database migrations. Proven ability to work cross-functionally, aligning stakeholders and driving adoption of shared tooling, workflows, and standards A data-driven mindset where you define clear success metrics, measure outcomes, and iterate based on the data Nice to Have Prior experience with Ruby/Rails Full-time Employee Benefits and Perks For full-time employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you. If you’d like to better understand what it’s like working at Persona, feel free to check out our reviews on Glassdoor . Read Less

About Assembled Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we’re at the forefront of support operations technology. The Team Our AI Products Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth. We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology. Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies. Examples of what you might work on: Scaling LLMs with Golang Enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search Pioneering new LLM evaluation techniques Responsibilities As a Software Engineer on the AI Products Team, you will: Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You’ll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents. Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You’ll help us leverage implicit knowledge bases like past tickets and macros to improve model performance. Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You’ll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities. Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives. Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, interviewing, and cross-team collaboration. Shape the team culture: Encourage a startup mentality that’s all about staying positive, aiming for top-notch product quality, and taking initiative. About You You might be a good fit if you: Have 5+ years of experience in software engineering as an individual contributor. Are highly ambitious and driven and set high goals for yourself and others. Put customers first, focusing on real problem-solving and making life easier for support agents. Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects. Have a bit of a maverick streak that helps you come up with creative solutions for tough problems. Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies. Have worked with LLMs and are excited to dive into them every day. Stay humble and open to feedback, value teamwork, and are always ready to learn and grow. Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF Read Less

THE WORK: At Ripple, The Identity and Trust Platform is proposed as the foundation to enable the "One Ripple" vision. Its goal is to solve identity problems across all products and acquisitions by establishing a single system of record for customers, users and their identities. This platform will decouple operational identity from legacy systems, unify compliance and verification context (such as shared KYB readiness), and define a shared entitlements layer for consistent product access. We are looking for Staff Engineers who are passionate about solving complex, foundational problems, eager to make a high impact by solving the identity and trust challenges across a global financial network, and are driven to design the scalable platform that will define the unified customer experience for all of Ripple's current and future products. The Identity and Trust Platform is foundational to building customer trust and defining the single system of record. As the technical anchor for a small, high-impact team, you will: Build the Foundation for 'One Ripple': Establish the Identity Platform as the single system of record, decoupling operational identity from legacy systems to enable a unified experience across all Ripple products (Payments, Custody, Stablecoins, Ripple Prime, and others). Drive Strategic Decoupling: Own the critical migration of core identity logic out of legacy systems, eliminating years of technical debt and preparing a path to retire them. Define the Future of Trust: Design and build the shared entitlements layer and unified compliance context (e.g., shared KYB readiness) to ensure consistent, secure product access for all customers. Scale and Mentor: Serve as a technical anchor, setting architectural direction, championing engineering excellence, and mentoring engineers to grow a high-performing, foundational platform team. This isn’t just about writing code — it’s about designing how Ripple’s operational identity platform will work for years to come! WHAT YOU’LL DO: Lead the design and development of distributed, cloud-native backend services that power the Identity and Trust Platform across Ripple’s product suite. Define and implement the foundational data model and APIs that serve as the single system of record for customers, entities, and users. Drive the strategic migration of core identity and customer lifecycle logic out of legacy systems into resilient, observable, and Identity Platform-first services. Design and build the core platform capabilities, including the unified entitlements layer and shared compliance context, to ensure consistent and secure access across all products. Partner with Product, Compliance, and other engineering teams to define and champion standard integration patterns and contracts for the platform. Champion engineering excellence in architecture, code quality, testing, and operational practices. WHAT YOU'LL BRING: 8+ years experience in Software Engineering, with a significant focus on backend systems. Deep, hands-on backend engineering experience building and operating modern, cloud-native, and highly-available distributed systems at scale. Proven track record designing and delivering foundational, large-scale systems in complex, regulated environments. Expert-level skills in API design and integration (e.g., REST and/or gRPC), with a focus on defining clear, reusable service contracts. Experience with cloud platforms (AWS preferred) and container orchestration (Kubernetes, ECS). Ability to strategically navigate and reduce technical debt while driving significant business value and high-leverage migration efforts. Strong technical leadership skills: proven ability to set architectural direction, mentor high-performing engineers, and influence critical, cross-team decisions across an organization. Preferred (But Not Required) Experience with our current stack: Java + Spring Boot. We encourage candidates from other robust backend stacks (Go, Kotlin, C#, Python, Rust, etc.) who can quickly learn JVM technologies. Experience with event-driven architecture (Kafka, SNS/SQS, etc.), crucial for building a decoupled and resilient platform. Domain knowledge in FinTech, RegTech, KYC/KYB, identity verification, or compliance-heavy systems. Read Less

The Role: Do you dream of building secure and scalable systems that empower users to move money instantly across the globe? Are you passionate about creating elegant solutions for complex challenges in the global payments and money movement space? If so, we want you on our team! SoFi is looking for a Senior Software Engineer on a brand-new international remittance product that will empower members to send instant, low-cost payments across borders using blockchain and next-generation financial technologies. You’ll play a critical role in bringing this vision to life—from concept to scale—designing secure, performant, and compliant systems that redefine the cross-border money movement experience. You will be an active team player and contribute to the vision to deliver the core infrastructure and user-facing capabilities behind a modern, global payments product. Your work will drive convenience, transparency, and affordability while ensuring alignment with compliance and security standards. This product is a key pillar of SoFi’s long-term goal of becoming a one-stop-shop for members’ financial needs. You will work closely with product managers, designers, researchers, legal and compliance teams, and other engineers across orgs. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership, is a self-starter, drives for delivery, approaches complex questions with data driving a project from inception to completion and knowing that a project is not complete when it is shipped to production Growth mindset and a deep passion to improve customer experience Strong problem solver and solid production debugging skills Nice to Have: Bachelor's degree in computer science or an equivalent field Prior Experience with Java/Kotlin, REST / GraphQL, Kafka, Docker, Kubernetes, Spring Boot, Kubernetes, Terraform, and CI/CD Experience with FE web and mobile applications development Experience in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular and Flutter. Proficiency in developing appealing and responsive interfaces Experience with designing, implementing, and maintaining P2P money movement capabilities or Payment systems Experience with Temporal, Snowflake, Datadog as well as infrastructure as code tools (e.g., Terraform, Ansible) What we offer: Work in the heart of the FinTech revolution, making a real difference in the financial lives of millions. The opportunity to be a founding member of a new squad working on multiple challenging and impactful projects that will shape the future of SoFi. A collaborative and supportive work environment where you can learn and grow from talented engineers. Competitive salary and benefits package. Be part of a company that values innovation and empowers its employees. If you are excited about building tier-0 products and services from scratch, we encourage you to apply! Read Less

About Checkr Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the Role Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks and more. We are disrupting a $5B+ industry, dominated by legacy incumbents, with a better product and intense customer focus. Within Checkr, Truework operates independently, allowing rapid iteration while also being able to leverage the strengths and assets from our core business. Think of it like joining a startup within a startup! As a Software Engineer on the Truework team you will help develop and maintain the platform that’s used by 8 of the top 10 mortgage lenders in the US. At Checkr, Engineers take ownership and responsibility on all aspects of Product development from leading projects, working with product managers and customers to define and implement features, to collaborating with our sales and marketing teams on launching and scaling products. You’ll have a lot of autonomy and will be successful if you have high agency and a keen sense of craftsmanship. Most of the work we need to do is backend-oriented but we are open to candidates from a broad set of roles (full stack, backend, QA engineers, SREs, etc.) if you meet our requirements. What you’ll do Be an independent individual contributor who can solve problems and deliver high-quality solutions with minimal/high-level oversight and a high level of ownership Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features Partner with engineering, product, design, and other stakeholders in designing and architecting new features Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP Quality mindset - you insist on quality as a critical pillar of your software deliverables Analytical mindset - instrument and deploy new product experiments with a data-driven approach Deliver performant, reliable, scalable, and secure code capable of supporting Truework’s significant scale Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team What you bring 2+ years of software development experience Bachelor degree (or equivalent education/training) Proficiency in Python and JavaScript Experience developing RESTful APIs Strong communication and documentation skills A strong sense of ownership from feature design through production release A desire to collaborate with external stakeholders An eagerness to learn, collaborate, improve, innovate, and have fun What you’ll get A fast-paced and collaborative environment Learning and development allowance Competitive compensation and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend Pay Transparency Disclosure One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $150,000 - $176,000 USD At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, Nashville, TN, and Santiago, Chile. Individuals are expected to work from the office 3 days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ). Read Less

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a member of the Revenue Accounting team, you will build the analytics and automation layer that moves Toast from manual spreadsheets toward system-driven controls and reconciliations. This is a high-impact, hands-on role sitting at the intersection of Accounting, Finance Systems, and Data Engineering. A day in the life (Responsibilities): Data Modeling: Build and maintain event-based analytical tables in Snowflake (transactions, settlements, fees) to translate raw data into accounting-ready metrics. BI it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits . The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $125,000 — $200,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com . ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Read Less

At MEDvidi, we are transforming mental healthcare by making it more accessible and affordable across the United States. Our mission is to remove barriers to mental health support and ensure that everyone can access the care they need. As our AI initiatives scale, high-quality analytics becomes a critical bottleneck - and this role is designed to solve it. About the Role We are hiring a Data Analyst to play a key role within the AI product team, ensuring data-driven accuracy in decision-making while evaluating, improving, and scaling AI-powered solutions in production. This is a highly strategic, fast-paced role focused on measuring the real impact of AI agents and LLM-based systems, turning ambiguous problems and incomplete data into accurate decisions 3+ years of hands-on experience as a Data Analyst working with product or platform data Strong proficiency in Python for analytical work and ability to independently investigate data on the level of datapoints, build structural analyses, and present results Confident SQL skills with experience working on complex queries Experience building production-grade dashboards in BI tools, preferably in Tableau Clear understanding of how LLM-based systems operate, including their limitations, failure modes, and trade-offs Strong problem-solving and ownership mindset: you take responsibility for analytical outcomes, not just task execution Ability to work in fast-changing, ambiguous environments and quickly learn new AI-related technologies Proven experience linking product quality metrics to business impact and decision-making Fluent Russian; English level B2 or higher Ability to work CET-overlapping hours, with location outside Belarus and Russia Nice to Have Experience evaluating or analyzing AI / ML / LLM products Experience with dialog systems or conversational agents Understanding of model quality metrics and evaluation approaches Analyze the performance and impact of AI initiatives already running in production Develop and maintain dashboards that provide transparency into AI agent performance Investigate issues, inconsistencies, and performance drops across automated user journeys Design and implement evaluation approaches to measure system quality and user experience Identify opportunities where automation improves outcomes, as well as areas where it introduces friction Track adoption and effectiveness of automation across the product and support its further evolution Partner closely with Product, Engineering, and QA teams to support data-informed decisions Why Join Us Work on a modern AI product where quality is a strategic function, not a formality Real influence on product direction and engineering practices High-impact work in a product-driven medical tech company Startup environment: fast iteration, high ownership, minimal bureaucracy Competitive compensation and growth opportunities Benefits Health insurance after probation period Sports Read Less

At MEDvidi, we are transforming mental healthcare by making it more accessible and affordable across the United States. Our mission is to remove barriers to mental health support and ensure that everyone can access the care they need. Data plays a critical role in how we manage operations, measure performance, and make decisions across the organization. About the Role We are looking for a Data Analyst to join our Analytics team and work closely with Operations functions: Medical Operations, Finance, and HR. In this role, you will own core operational analytics processes, ensure high data quality, and help teams make decisions based on accurate, trustworthy metrics. This position requires strong attention to detail, structured thinking, and the ability to work with data that directly affects operational and financial outcomes. 3+ years of experience as a Data Analyst Strong SQL skills and broad experience working with relational databases Experience building dashboards in Tableau (or another BI tool, with willingness to work in Tableau) Ability to ensure data accuracy and consistency across different sources High level of attention to detail and ability to work with accuracy-critical data Strong ownership: ability to independently take responsibility for processes and outcomes Fluent Russian; English level B2 or higher Ability to work CET-overlapping hours, with location outside Belarus and Russia Nice to Have Experience using Python for data analysis (Pandas, Jupyter Notebooks) Previous experience in operational, financial, or HR analytics Experience working with data reconciliation between financial and product data sources Analyse operational performance across MedOps, Finance, and HR, with a strong focus on core operational KPIs Build and maintain dashboards that provide clear and reliable visibility into operational metrics Investigate inconsistencies and gaps in operational, financial, and product data Ensure high data quality and consistency so stakeholders can confidently rely on analytics for decision-making Provide data-driven insights and recommendations to Operations, Finance, and HR teams to support operational decisions Why Join Us Work on a modern AI product where quality is a strategic function, not a formality Real influence on product direction and engineering practices High-impact work in a product-driven medical tech company Startup environment: fast iteration, high ownership, minimal bureaucracy Competitive compensation and growth opportunities Benefits Health insurance after probation period Sports Read Less

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R Read Less

The role: SoFi is seeking a highly motivated Senior Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement. This exciting new role will be part of the Marketing Measurement Insights and Optimization team. The focus of this role is ownership of an automated, end-to-end marketing offer measurement and monitoring framework, covering offer setup, execution, fulfillment, and post-campaign validation. This reporting infrastructure is critical to ensuring SoFi’s marketing offers are executed accurately, transparently, and in compliance with internal policies and external regulatory requirements. This role will partner closely with Compliance, Legal, Product, and Marketing to ensure marketing offers are consistently monitored, discrepancies are detected early, and documentation is available for audit and regulatory review. The reporting and alerting systems built in this role will serve as a key control for offer execution and fulfillment accuracy across the company. What you’ll do: Own the end-to-end offer campaign measurement and monitoring system, including automated data pipelines, data quality checks, stakeholder dashboards, and proactive alerting for execution or fulfillment issues. Establish and maintain standardized definitions, controls, and tracking for offer eligibility, fulfillment logic, and payout timelines; proactively surface discrepancies, delays, or failures and partner with Marketing, Product, Engineering, and Compliance to resolve them. Create and maintain clear documentation of offer definitions, fulfillment logic, and monitoring processes to support audits, reviews, and stakeholder alignment. Own non-standard or time-sensitive offer execution and analytics needs by extending existing frameworks, while continuously identifying opportunities to reduce manual effort through automation and standardization. Lead the consolidation of marketing offer reporting across products, channels, and teams, creating a single, trusted source of truth for offer performance and fulfillment status. Translate complex offer execution and fulfillment data into clear narratives that inform senior leadership on performance, risk, and compliance posture. What you’ll need: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field; Master’s degree preferred. 5+ years of experience in data science, analytics, or data engineering roles supporting marketing, growth, or product analytics; experience in financial services or other regulated industries strongly preferred. Advanced proficiency in SQL and strong experience using Python for data analysis and pipeline development. Proven experience building and maintaining production-grade dashboards and self-serve reporting solutions (e.g., Tableau or equivalent BI tools). Hands-on experience developing automated data pipelines and data models using tools such as Airflow and dbt, ideally within a Snowflake-based data stack. Experience designing data quality checks, monitoring, and alerting systems to proactively identify data or execution issues. Familiarity working with compliance, legal, risk, or audit stakeholders, or building analytics and reporting used for controls, monitoring, or regulatory review. Strong ability to translate complex and ambiguous business requirements into scalable, well-documented analytical solutions. Demonstrated ability to independently own projects end-to-end, prioritize effectively in a fast-paced environment, and drive work to completion with minimal oversight. Excellent communication skills, with the ability to clearly explain technical concepts and insights to non-technical, cross-functional stakeholders. High intellectual curiosity, strong attention to detail, and a collaborative mindset suited for cross-functional work across Marketing, Product, Engineering, and Compliance. Read Less

The Role Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Staff Software Engineers who are ready to lead the evolution of strategically critical areas of the next generation of our financial services platform in support of our goals that put our members in control of their financial destiny. Key qualifications of this role include: Leading design and implementation efforts across platform domains to affect multi-team or org-wide outcomes. Resolving problems in the platform design and implementation where there are competing constraints, significant ambiguity, and high technical or business risk. Recognition as a subject matter expert across a broad range of platform systems with the ability to identify and coordinate the resolution of systemic issues. Ability to define the long-term architectural direction for critical areas of the platform, aligning multiple teams around a shared vision, and developing an execution plan for delivering incremental value in stages. Ability to drive alignment across teams resolving technical and organizational conflicts, and successfully building consensus around difficult tradeoffs. Raises the engineering maturity of the organization by driving key improvements in the organization's culture and processes supporting engineering excellence. Ability to collaborate with partners to align technology and company strategy, resulting in plans that address the short and long-term goals of the business. Ability to identify and drive key improvements in systems supporting engineer productivity and velocity. Mentors engineers both inside and outside of the immediate team, and is a key participant in recruiting processes. What You’ll Do As a widely recognized technical leader within the team, you will focus on making key contributions to the definition and execution of the technical vision and strategy for the platform. Your responsibilities include defining and building consensus around evolutionary roadmaps for key areas of the platform that align with our business goals, strong individual contributions in coordinating and implementing those plans in stages that deliver distinct customer value, and leading improvements to the engineering efficiency and culture of engineering excellence across the team. Success in the role will require building and maintaining effective partnerships with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be a key stakeholder in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members. What You’ll Need Bachelor's or Master's degree in Computer Science or Software Engineering 7+ years as a professional, full-time Software Engineer, or similar relevant work experience. 4+ years in a technical leadership role. Proven track record of defining and leading cross-team initiatives in support of key business and strategic goals. Proven track record of leading initiatives increasing engineering productivity and improving engineering excellence. Exemplary communication and documentation skills. Proficient coding in Java, Kotlin, or other similar object-oriented programming language. Experience with public cloud compute, storage, and infrastructure. Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks. Deep understanding of relational and document database fundamentals. Deep understanding of microservices design principles and architecture. Deep understanding of scaling highly-available, mission-critical systems. Expert proficiency working with GIT and related CI/CD systems. Experience leading and improving Agile methodologies. Nice To Have Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena. Full-stack engineering experience, or willingness to expand your influence across our entire platform. We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you. Read Less

Company Description Turner Read Less

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role We’re looking for engineers to build the libraries and tools that accelerate research at Thinking Machines. You’ll own internal infrastructure — evaluation libraries, RL training libraries, experiment tracking platforms — and build systems that compound research velocity over time. This is a collaborative role. You will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use. What You'll Do Design, build, and operate research infrastructure including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities. Develop high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessment. Build systems for reproducibility, traceability, and robust quality control across research experiments and model training runs. Implement monitoring and observability. Partner directly with researchers to identify bottlenecks and unlock new capabilities. Own research tooling like a product manager, proactively seeking feedback and tracking adoption. Collaborate with infrastructure, data, and product teams to integrate tools across the technical stack. Skills and Qualifications Minimum qualifications: Bachelor's degree or equivalent experience in computer science, engineering, machine learning, or similar. Strong software engineering fundamentals with a track record of building reliable, maintainable systems. Proficiency in at least one backend language (we use Python or Rust). Comfort operating across the stack and owning projects end-to-end. Experience in highly collaborative environments involving many different cross-functional partners and subject matter experts. Preferred qualifications — we encourage you to apply if you meet some but not all of these: Track record building tooling for researchers that achieved high adoption without top down mandates. Experience building or maintaining ML research infrastructure such as training frameworks, evaluation libraries, or experiment tracking systems. Contributions to open-source ML tools or widely-used internal frameworks at research-focused organizations. Record of publications or technical writing on ML systems, infrastructure, or tooling. Background working closely with ML researchers to understand and solve their tooling needs. Familiarity with distributed systems, modern ML frameworks (PyTorch, JAX), and data processing at scale. Experience with research observability tools, distributed compute frameworks (Ray, Spark), or large-scale evaluation pipelines. Logistics Location: This role is based in San Francisco, California or New York, NY. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Read Less

Backend Software Engineer ( SAN FRANCISCO) About ManageCasa ManageCasa is a modern property management platform designed to help landlords, property managers, and HOAs operate and grow their businesses more efficiently. We provide our customers with a transparent, end-to-end view of their operations , empowering them to focus on what matters most. Our platform is widely recognized as one of the easiest-to-use property management solutions on the market , and we continue to innovate through scalable architecture, automation, and AI-driven capabilities. About the Role We are hiring an experienced Backend Software Engineer to play a critical role in scaling ManageCasa’s platform and advancing our enhanced features . This role will have a direct, measurable impact on customer experience, system reliability, and operational efficiency . You will work closely with the CTO and other engineers, developing the backend systems that power our core product, integrations, and emerging AI functionality. What You’ll Do Design, build, and maintain scalable backend services and core platform features Collaborate closely with the team to design, implement, and test internal and external APIs Develop and support backend systems that enable workflows, automation, and insights Diagnose and resolve production issues to improve performance, reliability, and customer satisfaction Contribute to experimentation, measurement, and continuous improvement in a lean startup environment What We’re Looking For 3+ years of backend engineering experience at a web-based technology company (startup experience preferred) Expert-level proficiency in Python , preferably using Django Familiarity with AI/ML integrations , such as: Working with AI APIs (LLMs, automation services, or data-driven systems) Supporting AI features through backend pipelines, data processing, or orchestration 1–2 years of experience with CI/CD pipelines and experimentation or A/B testing Strong knowledge of modern data stores and infrastructure, including: Aurora / MySQL ElasticSearch or OpenSearch Redis or similar caching layers Strong project ownership, task prioritization, and cross-functional collaboration skills Location Hybrid role In Office Tuesday and Thursday We do not support HIB Read Less

Amplitude is the leading Amplitude is the leading digital analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories by G2, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity Read Less

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across more than 37 locations around the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. The Engineering team at Airwallex is a diverse group of innovators, builders, and problem solvers, driven by a mission to empower businesses to operate anywhere, anytime. We thrive in a collaborative and fast-paced environment, where we're constantly pushing the boundaries of what's possible in the financial technology space. As a team, we value technical craftsmanship, continuous learning, and a strong sense of ownership, working together to build scalable, reliable, and secure products that empower businesses of all sizes to grow without borders. The Expenses team builds innovative solutions that simplify the entire expense management process for our customers. From real-time expense tracking and automated receipt capture to seamless approvals and integrations, we deliver tools that give businesses greater control and efficiency over global spending. What you’ll do As a Software Engineer (Backend), you’ll take end-to-end ownership of backend services that power our expenses product. You’ll be responsible for designing, building, and maintaining high-performance systems that are secure, scalable, and easy to evolve. This role is based in San Francisco. Responsibilities: Contribute to the design and implementation of backend services, writing clean, maintainable, and well-tested code. Collaborate with your team in technical discussions, code reviews, and design sessions. Build and maintain robust REST APIs following best practices in API development. Support the reliability and scalability of our systems by writing thoughtful code and contributing to monitoring and observability. Participate in Agile processes and work closely with cross-functional teams. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field. 3–5 years of professional software development experience. Strong foundation in computer science fundamentals and object-oriented programming (OOP). Hands-on experience developing RESTful APIs and working with modern backend technologies. Proficiency with at least one modern programming language (e.g., Java, Kotlin, Go, Python, etc.). Experience working with cloud platforms (e.g., AWS, GCP). Familiar with continuous integration practices and writing testable code. Preferred qualifications Experience with Spring Boot or another modern backend framework. Exposure to cloud infrastructure tools such as Kubernetes or similar. Some familiarity with observability tools (e.g., Grafana, Prometheus, or Splunk). Interest or experience in the financial domain. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Read Less

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 5+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $188,000 - $235,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information. Read Less

About Us: At Parafin, we’re on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position: As a Staff Software Engineer at Parafin, you will play a pivotal role in building, scaling, and maintaining our financial infrastructure. This position offers the opportunity to work across various engineering teams to design and develop robust, secure, and high-performing systems that power our embedded financial products. You will tackle critical technical challenges, mentor fellow engineers, and influence the strategic direction of our technology stack. We are hiring across multiple teams, and candidates will be considered for the team that best aligns with their experience and interests. Teams Hiring: 1. Merchant Platform Design and build scalable systems that support our merchant-facing products and services. Develop features that enhance the merchant experience and drive engagement. Collaborate with cross-functional teams to deliver seamless product integrations. 2. Partner Platform Build and optimize APIs that enable seamless embedding of Parafin’s financial products into partner platforms. Work closely with external partners to enhance integration capabilities and improve adoption. Develop internal tooling to improve operational efficiency and customer experience. What You’ll Do Design, build, and maintain scalable and reliable backend systems. Own and drive technical projects from ideation to deployment. Collaborate with cross-functional teams, including Product, Data Science, and Operations. Improve system performance, security, and reliability through continuous optimization. Mentor and guide other engineers, fostering a culture of technical excellence. What We Look For 6+ years of software engineering experience, preferably in fintech or financial services. Strong proficiency in backend development, ideally with Python, Go, or similar languages. Experience with cloud infrastructure (AWS, GCP) and scalable system design. Deep understanding of distributed systems, databases, and API development. Passion for building impactful financial products that empower small businesses. Bachelors Degree in Computer Science (or related field of study) What We Offer: Salary Range: $235k - $300k Equity grant Medical, dental Read Less

Who We Are Imprint is reimagining co-branded credit cards Read Less