Company Detail

MeridianLink
Member Since,
Login to View contact details
Login

About Company

Job Openings

  • Senior Product Manager - AI Products  

    Role Description We are looking for a seasoned Senior Product Manager... Read More
    Role Description We are looking for a seasoned Senior Product Manager to lead the definition and delivery of AI-powered automation capabilities within our vertical SaaS platform. This role sits at the intersection of financial services technology and applied AI and is accountable for translating complex lending workflows into intelligent, scalable product experiences that meaningfully reduce manual effort for our customers. You have shipped AI features in production—not just prototypes—and you understand what it takes to bring models, data pipelines, and UX together into a trustworthy, compliant product. Experience in consumer lending or mortgage software is a strong differentiator, as you will need to quickly earn credibility with domain-expert stakeholders and customers. Key Responsibilities AI Product Strategy and Roadmap Own the end-to-end product strategy and roadmap for AI automation features within the platform. Define measurable outcomes (efficiency gains, error reduction, decision accuracy) and hold the roadmap accountable to them. Partner with executive leadership to align AI initiatives with company-wide product vision and revenue goals. Build business cases justifying R MBA preferred. Computer science background (education or other demonstrated proficiency) preferred. Consumer or mortgage lending software experience is a plus. Read Less
  • Sr. Technical Program Manager  

    - Coos County
    Role Description We’re looking for a Sr. Technical Program Manager (TP... Read More
    Role Description We’re looking for a Sr. Technical Program Manager (TPM) to drive delivery for complex, cross-functional initiatives—including those involving AI/ML and intelligent automation. You’ll balance scope, timeline, and dependencies while partnering across Engineering, Product, Data, Security, and Operations to deliver high-quality outcomes. This role is ideal for someone who can run tight execution rhythms and understand the unique delivery needs of AI work in the rollout of the AI-Driven SDLC (AIDLC). Own end-to-end project execution: plan, schedule, and drive delivery across the full project lifecycle, balancing constraints and keeping work moving forward in partnership with product and engineering counterparts. Build and maintain project plans, track milestones, and proactively manage risks, issues, and tradeoffs—providing clear stakeholder updates with recommended solutions. Serve as the PMO lead for the ML's agentic platform and customer facing products — the structured methodology for developing, testing, deploying, and operating AI agents within MeridianLink’s agentic architecture. Partner with engineering leads to embed AI into each SDLC phase: requirements (AI-assisted grooming agents), development (co-pilot and Claude Code standards), testing (test-driven development metrics), and release (zero-downtime deployment, feature flag governance). Establish and continuously improve team processes that increase quality and productivity through process definition, education, and refinement. Facilitate light weight agile ceremonies (planning, standups, retrospectives) and drive continuous improvement through retrospective assessments. Use tools such as Jira (and related reporting) to support teams and enable visibility into progress, capacity, and delivery health. Bridge product and engineering AI alignment. Qualifications 7+ years of technical program management in a software engineering organization, with at least 2 years in an AI, ML, or platform transformation context. Demonstrated experience managing AI/ML initiatives or SDLC modernization programs — not just awareness, but delivery ownership. Fluency with AI-driven SDLC concepts: AI-assisted requirements, co-pilot/code generation tooling, test automation, agentic deployment, and observability. Ability to translate engineering complexity into executive narratives and vice versa; strong stakeholder management across CTO, VPs, and ICs. Experience running programs that span multiple scrum teams, including offshore-heavy organizations. Hands-on with program/project tooling (Jira, Confluence, or equivalents) and familiarity with engineering metrics (DORA, SPACE, or similar frameworks). Requirements Delivery plans are clear, realistic, and transparent; stakeholders consistently know status, risks, and next steps. Dependencies are surfaced early and managed actively; team execution rhythms are consistent and effective. AI-related initiatives have strong delivery hygiene (milestones, measurable outcomes, and aligned execution across data/Product/Engineering). Why This Role You’ll play a pivotal role in delivering cross-functional technology initiatives—and help the organization execute confidently as AI becomes a more central part of products and operations. You’ll bring clarity, momentum, and structure to complex work while partnering with leaders across Engineering, Product, and Data. Company Description MeridianLink is a leading provider of cloud-based software solutions for financial institutions, serving ~1,500 lenders with a loan origination platform deeply embedded in their core lending processes. With 400+ integrations and multi-year customer relationships, MeridianLink combines mission-critical workflow depth with a growing AI-native product roadmap. The company is backed by a board Tech Committee with deep fintech and AI expertise. Read Less
  • Senior Product Manager - AI Platform  

    Role Description We are seeking a strategic and technically fluent Sen... Read More
    Role Description We are seeking a strategic and technically fluent Senior Product Manager to own the AI platform layer that underpins our vertical SaaS offering for the lending industry. You are responsible for the foundational capabilities—model serving infrastructure, data pipelines, APIs, SDKs, and developer tooling—that enable both internal engineering teams and, in select cases, external integrators to build AI-powered experiences on top of our platform. You have hands-on familiarity with how production of AI systems are built and operated. You can hold a meaningful technical conversation with an ML engineer about inference latency and embedding strategies — and translate those tradeoffs into crisp product decisions. You have shipped platform capabilities, not just features, and you understand the difference: versioned APIs, backward compatibility, SLA contracts, and developer experience are as important to you as end-user outcomes. Candidates with prior experience building software for consumer lending or mortgage—LOS platforms, automated underwriting, document intelligence, or decisioning engines—will move to the top of the queue. Deep domain familiarity shortens the runway to credibility with both engineering and go-to-market teams. Key Responsibilities Own the end-to-end product strategy and roadmap for the AI platform layer. Partner with executive leadership to align AI initiatives with company-wide product vision and revenue goals. Build business cases justifying R collaborate with application Product Managers to ensure alignment. Qualifications 5+ years’ experience in product management, with proven success designing enterprise AI/ML products in a SaaS B2B environment. At least 3 years in a platform, infrastructure, or developer tools. Experience conducting customer/user research, usability testing, and translating insights into product strategy. Proficiency with AI-driven prototyping methods. Strong organizational and multi-tasking abilities, capable of managing multiple projects, priorities, and communication channels in a fast-paced environment. Mastery of agile methodologies, processes, artifacts. Understanding exposure to emerging DevAI practices. Strong problem-solving skills. Effective storytelling and presentation abilities. Excellent collaboration skills within and across teams. Ability to give and receive constructive design feedback. Awareness of industry trends, emerging technologies, and best practices in AI product design. Requirements Demonstrated track record of taking AI features from concept to production—including model integration, data contracts, and post-launch monitoring. Experience with AI/ML concepts, LLMs, MCPs, GenAI platforms, API integration. Familiarity with responsible AI principles, model interpretability, bias mitigation, and quality/accuracy metrics required for production grade AI systems. Experience collaborating with Data Science and Engineering teams to define training data needs, evaluate model performance, and implement iterative feedback loops. Proven track record shipping AI or ML capabilities into production: you have written PRDs that specify inference APIs, data schemas, latency budgets, model versioning strategies, and observability requirements. Sufficient technical depth to participate in architecture discussions with Engineering. Hands-on familiarity with at least one modern AI/ML stack, vector databases, and model serving infrastructure. Experience defining API contracts and SDK developer experiences—including versioning strategies, deprecation policies, and changelog communication. Comfort working with data engineering concepts: ETL/ELT pipelines, feature stores, schema registries, event streaming (Kafka, Kinesis), and data quality frameworks. Strong written communication skills for technical audiences. Background and Education Bachelor’s degree required; MBA preferred. Computer science background (education or other demonstrated proficiency) required. Consumer or mortgage lending software experience is a plus; experience in vertical SaaS required. Read Less

Company Detail

  • Is Email Verified
    No
  • Total Employees
  • Established In
  • Current jobs

Google Map

For Jobseekers
For Employers
Contact Us
Astrid-Lindgren-Weg 12 38229 Salzgitter Germany