Senior Network/Infrastructure Engineer, Onsite in Charlotte, NC
We are seeking a Senior Network/Infrastructure Engineer with strong experience in designing, deploying, and supporting enterprise networks and modern infrastructure platforms. This hands-on role focuses on secure data transfer, infrastructure optimization, and day-to-day management of networking hardware, virtualization, and cloud workloads, with a strong bias toward automation and operational rigor. This position is 100% Onsite in Charlotte, NC.
Senior Network/Infrastructure Engineer Responsibilities:
Infrastructure Management
- Own day-to-day operations of the VMware environment (vSphere/ESX/ESXi): lifecycle management, capacity, performance tuning, patching, upgrades, backup/DR coordination, and incident response.
- Partner on the virtualization roadmap, including planning and execution for migration from VMware to Nutanix (or Nutanix-based platforms), minimizing downtime and risk.
- Operate and optimize storage and compute platforms (e.g., Cisco UCS, SAN/NAS such as NetApp FAS/AFF, FlexPod), including performance troubleshooting and resilience planning.
Cloud & Platform Operations
- Manage and optimize Microsoft Azure workloads: networking, compute, storage, security controls, cost optimization, and operational monitoring.
- Operate Kubernetes environments (cluster upgrades, reliability, networking, ingress, policy, and workload troubleshooting).
- Build, deploy, and support Docker containerized applications and supporting infrastructure (registries, image hygiene, runtime security, scaling).
- Implement and maintain load balancing solutions (L4/L7), including TLS configuration and operational monitoring.
Network Engineering & Communications
- Design, implement, and support enterprise data/voice/video networks across LAN/WAN/Wi-Fi.
- Configure and support routing/switching and core network services (TCP/IP, BGP, OSPF, VLANs, QoS, DHCP/DNS).
- Administer and harden firewalls/VPNs (SonicWall, Cisco ASA, Palo Alto) and support secure remote access patterns.
Security, Secure Transfers, and Compliance Support
- Maintain secure internal and external data transfer mechanisms (e.g., SFTP/managed file transfer), including certificate/keys, access controls, and auditing.
- Support vulnerability remediation, security hardening, and practical control implementation aligned to customer/security expectations (e.g., PCI/SOC-related controls where applicable).
- Own SSL/TLS certificate lifecycle management across infrastructure components.
Operational Excellence & Automation
- Build repeatable, automated operations (Infrastructure-as-Code and configuration management preferred), reducing manual work and increasing reliability.
- Improve observability and troubleshooting practices (monitoring, alerting, packet capture, traffic analysis) and drive root-cause prevention.
- Participate in on-call/after-hours support rotations as needed for high-priority incidents and maintenance windows.
Collaboration
- Collaborate across internal teams and external vendors/clients to plan changes, execute upgrades, resolve incidents, and document outcomes.
- Create and maintain clear technical documentation (runbooks, diagrams, standards) to improve operational consistency and knowledge sharing.
QualificationsSenior Network/Infrastructure Engineer Required Qualifications:
- 5+ years in a senior network/infrastructure engineering role supporting enterprise environments (hybrid datacenter + cloud).
- Strong, hands-on experience with Kubernetes, VMware (vSphere/ESX/ESXi), and Microsoft Azure (these are must-haves).
- Proven experience designing/supporting enterprise networks: LAN/WAN/Wi-Fi, routing/switching, VPNs, QoS, and troubleshooting (packet capture/traffic analysis).
- Firewall administration experience with one or more of SonicWall, Cisco ASA, and Palo Alto (policy, VPN, logging/triage).
- Experience with virtualization operations and performance tuning (compute, storage, networking).
- Windows Server administration experience (including legacy environments as needed), Active Directory, Group Policy, and Exchange in enterprise contexts.
- Working knowledge supporting SQL Server environments (AlwaysOn preferred).
- Strong operational habits: change management discipline, incident response, documentation, and clear communication.
Senior Network/Infrastructure Engineer Preferred Qualifications:
- Bachelor’s degree in a related field and significant datacenter operations experience.
- Certifications such as CCNA/CCNP, VCP, Nutanix (NCP), Azure (AZ-104/AZ-305), Security+, or equivalent experience.
- Experience with Cisco UCS, NetApp FAS/AFF, and FlexPod architectures in production environments.
- Familiarity with IIS/Tomcat administration and email security tooling (e.g., SpamTitan).
- Experience with tools such as Jira, Kace, SolarWinds, PRTG, Cerberus SFTP, Zerto, Trend Micro, WSUS, and related monitoring/endpoint/security platforms.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: Charlotte NC Jobs, Senior Network/Infrastructure Engineer, Active Directory, AlwaysOn, Azure (AZ-104/AZ-305), CCNA/CCNP, Cerberus SFTP, Change Management, Cisco ASA, Cisco UCS, Cloud, Datacenter, Exchange, Firewalls, FlexPod, Group Policy, IIS, Infrastructure Engineer, Jira, Kace, Kubernetes, LAN/WAN/Wi-Fi, Legacy, Microsoft Azure, NetApp FAS/AFF, Network Engineer, Networking, Nutanix, Packet Capture, Palo Alto, PRTG, QoS, Routing, Security+, SolarWinds, SonicWall, SpamTitan, SQL Server, Storage, Support, Switching, Tomcat, Traffic Analysis, Trend Micro, VCP, Virtualization, VMware, VPN, Windows Server, WSUS, Zerto, North Carolina Recruiters, IT Jobs, North Carolina Recruiting
Looking to hire a Senior Network/Infrastructure Engineer in Charlotte, NC or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Senior Network/Infrastructure Engineers for jobs in Charlotte, North Carolina and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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Product Owner/Scrum Master, Onsite in Charlotte, NC
We are seeking an experienced Product Owner/Scrum Master to partner with the development team and deliver high-quality software products in an agile environment. This dual-role position bridges business needs and technical execution by owning the product backlog, driving Scrum ceremonies, and supporting overall sprint health. The role focuses on the full product lifecycle of branded applications and emerging technologies, working closely with cross-functional teams to translate business needs into prioritized development work and guide features from concept through release. This position reports to the Manager of Project Services and requires strong communication skills and the ability to collaborate across distributed teams and time zones. This position is 100% Onsite in Charlotte, NC.
Product Owner/Scrum Master Responsibilities:
Backlog Ownership
- Write and refine detailed, well-structured user stories that clearly communicate the intent, context, and value of each feature or enhancement.
- Define clear, testable acceptance criteria for all user stories, ensuring all necessary details are captured and validated prior to Grooming Sessions.
- Review and confirm requirements with the Product Manager and relevant Stakeholders before approving stories for development implementation.
- Prioritize requirements based on client urgency as communicated by Project Managers, ensuring the backlog reflects current business priorities at all times.
- Clarify functional and non-functional requirements with the Development Team, QA, and Learning & Development (L&D) teams.
- Continuously reorder and groom the backlog, ensuring it accurately reflects current project priorities and is always sprint-ready.
Product Goals Ownership
- Contribute to and co-own the product vision and roadmap in close collaboration with the Product Manager.
- Define sprint iterations and scope, translating the product roadmap into actionable, time-boxed delivery plans.
Delivery Readiness
- Prepare for and facilitate Sprint Demo Reviews after each iteration, ensuring stakeholders have visibility into completed work.
- Facilitate Grooming and Sprint Planning Sessions to ensure the team is aligned, prepared, and confident in the upcoming sprint scope.
Iteration & Sprint Responsibilities
- Schedule and own all Scrum ceremonies: Daily Stand-Ups (DSUs), Grooming Sessions, Sprint Retrospectives, and Backlog Refinement meetings.
- Help facilitate Grooming and Backlog Refinement sessions ensuring the team fully understands requirements and implementation details.
- Own Retrospective outcomes: document all action items and follow-ups, and track their completion across sprints.
- Report and track team capacity, ensuring optimal resource utilization throughout each sprint cycle.
Execution & Delivery Support
- Promote correct use of Jira and adherence to Scrum methodologies, in line with organizational and industry best practices.
- Accountable for sprint execution, actively tracking progress toward sprint goals and ensuring commitments are met.
- Communicate risks, blockers, and their potential impacts to internal stakeholders and affected parties (client communication is managed separately by Project Managers).
- Develop and implement mitigation strategies when a sprint or deliverable is identified as at risk.
- Proactively follow up with team members on any blockers, removing impediments to maintain sprint momentum.
- Support deployment, release planning, and rollout coordination in collaboration with technical leads.
- Identify and escalate individual or team performance issues to the appropriate supervisors in a timely and professional manner.
QualificationsProduct Owner/Scrum Master Qualifications:
Education & Experience
- 3 to 6+ years of experience in a Product Owner, Business Analyst, or Scrum Master role within an Agile/Scrum environment.
- Bachelor’s degree required.
- Demonstrated experience owning and delivering software products in a demanding, fast-paced setting.
- Certified Scrum Product Owner (CSPO) and/or Certified Scrum Master (CSM) and/or SAFe Product Owner/Product Manager (POPM), Scaled Agile is preferred.
- Demonstrated experience writing detailed user stories and acceptance criteria for software development teams.
- Proficient in Microsoft Office (Excel, Word, Outlook, Project); SharePoint experience preferred.
- Proficient in Jira for backlog management, sprint tracking, and reporting.
- Strong facilitation skills with experience running Scrum ceremonies effectively.
- Excellent verbal and written communication skills; comfortable collaborating with US-based stakeholders and leadership.
- Experience working in a distributed, cross-cultural team environment is a strong plus.
Skills & Competencies
- Strong understanding of business needs and the ability to translate them into clear, actionable product requirements.
- Proven experience working in agile development environments.
- Excellent organizational and prioritization skills with the ability to manage competing clients and technical demands.
- Strong analytical skills with the ability to interpret data, identify trends, and recommend next steps.
- Exceptional written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
- Collaborative mindset with experience working in matrixed organizations.
- Detail-oriented, deadline-driven, and able to perform well under pressure.
- Self-starter with strong follow-through and a professional, team-oriented attitude.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: Charlotte NC Jobs, Product Owner/Scrum Master, Agile, Business Analysis, Business Analyst, CSM - Certified Scrum Master, CSPO - Certified Scrum Product Owner, Jira, Office 365, Product Owner, SAFe Product Owner/Product Manager (POPM), Scaled Agile, Scrum Master, Scrum, SharePoint, North Carolina Recruiters, IT Jobs, North Carolina Recruiting
Looking to hire a Product Owner/Scrum Master in Charlotte, NC or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Product Owners/Scrum Masters for jobs in Charlotte, North Carolina and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home
The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. The VP of Research, Machine Learning (ML) will define how Artificial Intelligence (AI) reasons, evaluates, and improves in a product used with high frequency. This position is 100% Remote.
VP of Research, Machine Learning (ML) Responsibilities:
- Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration.
- Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.
- Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity.
- Own alignment, safety, and guardrail strategy as first-class product concerns.
- Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.
- Shape early product intelligence direction in close partnership with product and application engineering.
- Set the technical bar for research rigor, judgment, and taste across the organization.
QualificationsVP of Research, Machine Learning (ML) Qualifications:
- Deep experience building or evolving real Machine Learning (ML) systems used in production.
- Artificial Intelligence (AI) experience required.
- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.
- A builder’s mindset, you care about systems that work in the real world, not just ideas.
- Comfortable making irreversible or high-impact decisions with incomplete information.
- Obsession with evaluation, correctness, and how systems behave over time.
- High ownership mentality; you operate as a founder, not a manager.
- Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, VP of Research, Machine Learning (ML), AI, Artificial Intelligence, GPU, JAX, ML, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a VP of Research, Machine Learning (ML) in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire VPs of Research, Machine Learning (ML) for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home
As the VP of Engineering Applications, you will turn intelligence into a real product. The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms. The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery. This position is 100% Remote.
VP of Engineering Applications Responsibilities:
- Own the application engineering strategy and execution across backend, mobile, and desktop.
- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
- Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations.
- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
- Partner closely with Machine Learning leadership to translate model capability into shippable product features.
- Make high-impact decisions across latency, cost, reliability, security, and user experience.
- Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.
- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
- Balance speed and discipline shipping quickly without compromising long-term system quality.
VP of Engineering Applications Outcomes:
- Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop
- Clear architectural boundaries that allow teams to move fast without constant rewrites.
- Measurable improvements in system performance, stability, and production reliability.
- Strong observability and operational discipline across all application systems.
- A small, senior team that ships frequently, owns what they build, and raises the technical bar.
- Team members are empowered, growing in their roles, and able to make high-impact contributions.
QualificationsVP of Engineering Applications Qualifications:
- Significant experience leading application or product engineering for complex systems.
- Artificial Intelligence (AI) experience required.
- Strong hands-on background building and shipping backend systems used in production.
- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.
- Excellent system design skills across services, APIs, clients, and data flows.
- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
- Proven ability to make high-impact technical decisions under ambiguity.
- A strong bias toward shipping, iteration, and learning from real-world usage.
- Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, VP of Engineering Applications, AI, Artificial Intelligence, APIs, Application Engineering, Backend, Desktop, Low Latency, ML, Machine Learning, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a VP of Engineering Applications in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire VPs of Engineering Applications for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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Technical Product Manager of Artificial Intelligence (AI) Systems, Work From Home
The Technical Product Manager of Artificial Intelligence (AI) Systems is a deeply technical, hands-on role. The Technical Product Manager of Artificial Intelligence (AI) Systems will work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. The Technical Product Manager of Artificial Intelligence (AI) Systems will work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. This position is 100% Remote.
Technical Product Manager of Artificial Intelligence (AI) Systems Responsibilities:
- Research and define end-to-end Artificial Intelligence (AI) system requirements from capability to behavior to user impact.
- Translate model capabilities, data constraints, and evaluation results into clear product and system decisions.
- Make hard trade-offs across quality, latency, cost, reliability, and UX.
- Work closely with Machine Learning (ML), backend, and mobile engineers on system design, evaluation, and iteration.
- Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
- Drive execution with clear specs, strong judgment, and disciplined prioritization.
- Ensure systems ship quickly, safely, and reliably, with strong feedback loops.
- Own product quality end-to-end correctness, predictability, and user trust.
Technical Product Manager of Artificial Intelligence (AI) Systems Outcomes:
- Product strategy clearly aligns Artificial Intelligence (AI) capabilities with user needs and company priorities.
- AI features deliver real value, are understandable, predictable, and trusted by users.
- Decisions balance quality, speed, cost, and reliability effectively under uncertainty.
- Roadmaps and priorities are clear, with fast iteration based on real user feedback.
- Teams are aligned, focused, and able to execute on AI product goals with minimal friction.
QualificationsTechnical Product Manager of Artificial Intelligence (AI) Systems Qualifications:
- Hands-on exposure to Artificial Intelligence (AI)-powered products, including LLM-based systems.
- Artificial Intelligence (AI) experience required.
- Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
- Strong intuition for model limitations, hallucinations, bias, and drift.
- Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
- Solid understanding of Machine Learning (ML) fundamentals and how modern Artificial Intelligence (AI) systems behave in production.
- Comfort reading, reviewing, and discussing technical design documents.
- Significant experience owning complex, technical products end-to-end.
- Proven ability to work closely with senior engineers and ML teams.
- Strong judgment and decision-making ability in ambiguous, fast-moving environments.
- Ability to balance ambition with technical and operational reality.
- Experience shipping Artificial Intelligence (AI)-heavy consumer products is a plus.
- Background as an engineer or highly technical product manager is a plus.
- Experience defining evaluation metrics for Machine Learning (ML) systems is a plus.
- Strong intuition for Artificial Intelligence (AI) User Experience (UX) patterns and failure handling is a plus.
- Prior experience in zero-to-one product environments is a plus.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Technical Product Manager of Artificial Intelligence (AI) Systems, AI, Artificial Intelligence, LLM, ML, Machine Learning, Technical Product Manager, UX, User Experience, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a Technical Product Manager of Artificial Intelligence (AI) Systems in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Technical Product Managers of Artificial Intelligence (AI) Systems for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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Technical Lead, Applications, Artificial Intelligence (AI) Required, Work From Home
As the Technical Lead, Applications, you directly own the core application architecture that connects AI systems to real-world user experiences. You will be responsible for the design, reliability, and evolution of backend services, APIs, and client integrations across mobile and desktop. This is a hands-on leadership role. You will stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales. This position is 100% Remote.
Technical Lead Responsibilities:
- Own the application engineering strategy and execution across backend, mobile, and desktop.
- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
- Ensure production-grade reliability: observability, monitoring, retries, fallbacks, and failure handling.
- Set the architectural direction for AI-powered product workflows, APIs, and client integrations.
- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
- Partner closely with Machine Learning (ML) leadership to translate model capability into shippable product features.
- Make high-impact decisions across latency, cost, reliability, security, and user experience.
- Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership.
- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
- Balance speed and discipline, shipping quickly without compromising long-term system quality.
Technical Lead Outcomes:
- Production systems are observable, monitored, and stable under real-world load.
- Decisions consistently balance speed, cost, reliability, and user experience.
- Features across backend, mobile, and desktop work smoothly and reliably.
- Latency and reliability improve measurably over time.
QualificationsTechnical Lead Qualifications:
- Significant experience leading application or product engineering for complex systems.
- Artificial Intelligence (AI) experience required.
- Strong hands-on background building and shipping backend systems used in production.
- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.
- Excellent system design skills across services, APIs, clients, and data flows.
- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
- Proven ability to make high-impact technical decisions under ambiguity.
- A strong bias toward shipping, iteration, and learning from real-world usage.
- Move fast without breaking fundamentals.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Technical Lead, Applications, AI, APIs, Artificial Intelligence, Backend, Desktops, Mobile, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a Technical Lead in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Technical Leads for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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Head of Internal Tools Engineering, Artificial Intelligence (AI) Required, Work From Home
We are seeking a Head of Internal Tools Engineering candidate for a great work from home opportunity. You will architect, build, and scale the internal technology ecosystem that accelerates workforce productivity, eliminates operational friction, and gives the company a compounding infrastructure advantage. You will treat internal tools with the same product rigor and user-centricity as any external product because the quality of internal systems directly determines organizational velocity. You will lead a cross-functional engineering team, make high-stakes build-vs-buy decisions, and drive AI adoption into internal workflows. This role requires someone who can see the company’s operational architecture as a system design problem and solve it with software. This position is 100% Remote.
Head of Internal Tools Engineering Responsibilities:
Internal Platform Strategy & Roadmap:
- Own the end-to-end strategy and roadmap for all internal tools, platforms, and automation treating internal technology as a product, not a cost center.
- Make strategic build-vs-buy decisions, knowing when a custom-built solution creates a lasting advantage and when a SaaS tool is the right answer.
- Map current and next-state process flows across the entire internal toolchain and lead systems transformation for internal teams.
Systems Architecture & Engineering:
- Architect and maintain the full engineering lifecycle for internal platforms from ideation and design through deployment, iteration, and deprecation.
- Build seamless, API-first ecosystems that integrate internal tools across HR systems, finance platforms, knowledge management, CRM, and developer infrastructure.
- Own system reliability and operational resilience: establish success metrics for uptime, performance, and employee productivity.
- Design scalable, secure architectures using cloud-native principles, microservices, and modern integration patterns.
AI & Automation:
- Lead the strategy for integrating AI and LLMs into internal workflows reimagining how knowledge is shared, decisions are supported, and work is executed across the organization.
- Deploy intelligent automation tools including AI where appropriate to streamline internal processes and improve decision-making.
- Evaluate and integrate AI-assisted troubleshooting, proactive recommendations, and intelligent automation into the internal platform layer.
- Stay ahead of technology trends and drive continuous experimentation you build prototypes, not slide decks.
Developer Experience & Productivity:
- Reduce cognitive load for internal users by providing golden paths, standardized workflows, and self-service capabilities.
- Ensure frictionless onboarding and seamless integration across the tool ecosystem.
- Measure platform success through adoption rates, user satisfaction, DORA metrics, and productivity impact not feature count.
Team Leadership:
- Build, lead, and mentor a high-performing team of engineers and engineering managers.
- Cultivate a collaborative engineering culture rooted in ownership, speed, and craftsmanship.
- Provide technical mentorship and create growth paths for individual contributors and managers alike.
- Foster psychological safety and a feedback-driven environment that empowers people to do their best work.
Cross-Functional Collaboration:
- Partner with People, Finance, Engineering, Legal, and Operations leadership to translate complex business needs into a unified technical vision.
- Serve as the bridge between business stakeholders and the engineering team you speak both languages fluently.
- Align internal platform investments with broader company strategy and demonstrate measurable ROI.
QualificationsHead of Internal Tools Engineering Qualifications:
- 12+ years of experience in software engineering, with at least 5 years in engineering leadership (managing teams or managing managers).
- Artificial Intelligence (AI) experience required.
- Strong hands-on technical background; you’ve built production systems and can still credibly review architecture, code, and system design.
- Deep understanding of cloud-based systems (AWS, GCP, or Azure), APIs, microservices, data pipelines, and modern infrastructure.
- Proven track record of building and scaling internal tools or platforms that serve cross-functional business teams not just engineering.
- Experience making build-vs-buy decisions and managing a portfolio of custom-built and third-party tools.
- Strong experience designing and building internal platforms and automation systems.
- Strong product thinking: you define success in terms of user outcomes and business impact, not technical output.
- Experience navigating the full SDLC from ideation through deprecation you know when to build, iterate, and retire.
- Excellent communication skills: you can articulate complex technical concepts to non-technical executives and translate business problems into engineering roadmaps.
- Experience at a high-growth technology or AI-native company that scaled rapidly is a plus.
- Background in platform engineering, developer experience, or internal developer platforms (IDPs) is a plus.
- Familiarity with HRIS, ERP, and business systems integration (Workday, Salesforce, NetSuite, etc.) is a plus.
- Experience with cybersecurity best practices and compliance frameworks for internal systems is a plus.
- Prior experience leading internal technology through M&A integrations or multi-entity consolidation is a plus.
- Exposure to knowledge management systems, internal search, and enterprise AI assistants is a plus.
- Experience integrating AI/LLMs into internal workflows or productivity tools is a plus.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Head of Internal Tools Engineering, AI, API, Artificial Intelligence, AWS, Azure, CRM, DORA Metrics, GCP, Google Cloud Platform, Head of Internal Tools Engineering, LLM, SaaS, SDLC, Software as a Service, Work From Home, California Recruiters, IT Jobs, California Recruiting
Looking to hire a Head of Internal Tools Engineering in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Heads of Internal Tools Engineering for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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Head of Engineering, Artificial Intelligence (AI) Required, Work From Home
We are looking for a Head of Engineering who can drive engineering execution, structure engineering workstreams, and help build a high-performing engineering team. The Head of Engineering role focuses on turning product and technical direction into reliable delivery and ensures the team ships effectively and consistently. A strong technical foundation in system architecture is a must. The Head of Engineering role involves helping manage engineering workstreams, supporting technical decisions, and leading engineering hiring across the globe. This position is 100% Remote.
Head of Engineering Responsibilities:
Engineering Execution:
- Help structure engineering workstreams and ensure projects move forward efficiently.
- Identify risks, unblock engineers, and maintain steady development velocity.
- Ensure high engineering standards while keeping teams focused on shipping.
- Translate product direction and technical strategy into clear engineering execution.
Technical Guidance:
- Contribute to key architecture discussions and technical decisions.
- Support engineers in evaluating system design choices and implementation trade-offs.
- Ensure systems are implemented in a scalable and maintainable way.
Team Building and Recruiting:
- Build and scale a strong engineering team across China, US and Europe.
- Recruit high-quality engineers and help maintain a strong hiring bar.
- Establish structured hiring processes and interview standards.
Cross-Team Coordination:
- Work closely with product, research, and leadership teams.
- Ensure alignment across different engineering efforts and locations.
- Help resolve technical and organizational bottlenecks.
QualificationsHead of Engineering Qualifications:
- Strong technical background in software engineering and system architecture.
- Artificial Intelligence (AI) experience required.
- Experience managing or leading engineering teams.
- Ability to structure engineering work and maintain development velocity.
- Strong judgment in technical decision-making.
- Comfortable operating in early-stage environments.
- Clear communication and ability to work across teams.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Head of Engineering, Architecture, Engineering, Head of Engineering, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting
Looking to hire a Head of Engineering in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Heads of Engineering for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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Chief Technology Officer (CTO), Artificial Intelligence (AI) Required, Work From Home
We are looking for a Chief Technology Officer (CTO) who can think clearly about systems, make strong technical decisions, and help build the engineering organization from the ground up. The Chief Technology Officer (CTO) will be part of founding team to shape the technical direction of the company, while helping build a strong engineering team across the globe. This position is 100% Remote.
Chief Technology Officer (CTO) Responsibilities:
Technical Direction:
- Define the long-term architecture for AI systems, infrastructure, and developer platform.
- Evaluate trade-offs between speed of iteration and long-term system design.
- Ensure systems are designed for scalability, reliability, and long-term evolution.
- Guide key decisions across model integration, data pipelines, distributed systems, and product architecture.
Engineering Leadership:
- Work with engineers to translate product direction into clear technical execution.
- Help structure engineering workstreams and keep teams aligned on priorities.
- Maintain high engineering standards while keeping the team focused on shipping.
- Establish engineering culture, development practices, and technical standards across the company.
Building the Team:
- Build and scale a world-class engineering team across key talent hubs including China and US.
- Identify strong technical leaders and help build a high-quality engineering organization.
- Define hiring standards and interview processes to maintain a high engineering bar.
Coordination and Execution:
- Work closely with product, research, and leadership teams.
- Ensure technical workstreams move forward smoothly across teams and locations.
- Help resolve cross-team technical and execution challenges.
QualificationsChief Technology Officer (CTO) Qualifications:
- Strong technical foundation in system architecture, large-scale systems, distributed architecture.
- Artificial Intelligence (AI) experience required.
- Ability to reason clearly about complex systems and make pragmatic technical decisions.
- Experience building or leading high-performing engineering teams.
- Strong judgment on technical trade-offs and engineering priorities.
- Comfortable operating in early-stage environments with high ambiguity.
- Clear communication and ability to align teams.
- We are particularly interested in candidates who enjoy building teams, superior products and shaping engineering organizations.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
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Looking to hire a Chief Technology Officer (CTO) in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Chief Technology Officers (CTOs) for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
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