Base pay range $300,000.00/yr - $500,000.00/yr Head of Autonomous Systems We are partnered with a highly technical DeepTech Research Lab building next-generation autonomous systems that operate across complex physical and digital environments. The organisation is well-funded ($40m+), running large-scale R&D programs, and working at the frontier of autonomy, agentic AI, and real-world system control. Their work focuses on unifying artificial intelligence and physical systems - combining LLM-driven reasoning, structured planning, perception, and deterministic execution with real-world constraints such as safety, latency, and reliability. The platform enables autonomous agents to sense, decide, and act across end-to-end workflows involving hardware, software, and humans-in-the-loop. The team is composed of deeply technical engineers and researchers from backgrounds including robotics, AI systems, control, distributed infrastructure, and applied ML. This is a high-ownership environment where senior leaders are expected to design, build, and deploy foundational systems that unlock entirely new capabilities in autonomy. They are hiring a Head of Autonomous Systems to lead and scale this effort. The role sits at the intersection of AI research, robotics/autonomy, and systems engineering, with a strong emphasis on safety, reproducibility, and first-principles thinking. We are looking for a hands on technical leader who can act as both a people manager and system architect. Key Experience Required 7+ years' experience across autonomous systems, AI/ML, robotics, or control systems, with proven people leadership and team building experience Demonstrated leadership in designing and deploying agentic or autonomous systems, including planning, decision making, tool use, multi agent coordination, and long running autonomous behaviour Strong experience bridging AI with the physical world - robotics, industrial automation, autonomous platforms, cyber physical systems, or real time decision systems Deep applied engineering background, with the ability to architect end-to-end autonomous stacks spanning perception, reasoning, control, simulation, deployment, and monitoring Strategic ownership of the autonomy roadmap, including hiring and mentoring senior engineers/researchers, setting technical direction, managing safety and risk, and translating research into operational systems Please apply ASAP for more information - we are aiming to have this position finalized in January. Seniority level Director Employment type Full time Job function Information Technology, Science, and Research Industries Data Infrastructure and Analytics and Software Development
04/02/2026
Full time
Base pay range $300,000.00/yr - $500,000.00/yr Head of Autonomous Systems We are partnered with a highly technical DeepTech Research Lab building next-generation autonomous systems that operate across complex physical and digital environments. The organisation is well-funded ($40m+), running large-scale R&D programs, and working at the frontier of autonomy, agentic AI, and real-world system control. Their work focuses on unifying artificial intelligence and physical systems - combining LLM-driven reasoning, structured planning, perception, and deterministic execution with real-world constraints such as safety, latency, and reliability. The platform enables autonomous agents to sense, decide, and act across end-to-end workflows involving hardware, software, and humans-in-the-loop. The team is composed of deeply technical engineers and researchers from backgrounds including robotics, AI systems, control, distributed infrastructure, and applied ML. This is a high-ownership environment where senior leaders are expected to design, build, and deploy foundational systems that unlock entirely new capabilities in autonomy. They are hiring a Head of Autonomous Systems to lead and scale this effort. The role sits at the intersection of AI research, robotics/autonomy, and systems engineering, with a strong emphasis on safety, reproducibility, and first-principles thinking. We are looking for a hands on technical leader who can act as both a people manager and system architect. Key Experience Required 7+ years' experience across autonomous systems, AI/ML, robotics, or control systems, with proven people leadership and team building experience Demonstrated leadership in designing and deploying agentic or autonomous systems, including planning, decision making, tool use, multi agent coordination, and long running autonomous behaviour Strong experience bridging AI with the physical world - robotics, industrial automation, autonomous platforms, cyber physical systems, or real time decision systems Deep applied engineering background, with the ability to architect end-to-end autonomous stacks spanning perception, reasoning, control, simulation, deployment, and monitoring Strategic ownership of the autonomy roadmap, including hiring and mentoring senior engineers/researchers, setting technical direction, managing safety and risk, and translating research into operational systems Please apply ASAP for more information - we are aiming to have this position finalized in January. Seniority level Director Employment type Full time Job function Information Technology, Science, and Research Industries Data Infrastructure and Analytics and Software Development
This range is provided by Strativ Group. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $175,000.00/yr - $250,000.00/yr Direct message the job poster from Strativ Group Location: Remote (Must be SF Bay Area Based) Package: Up to $250k cash + opts & benefits High revenue generating Tech business offering one of most highly scalable, open source products on the market. They're a cutting edge, multi model GenAI Suite revolutionizing how developers handle complex data with their AI Powered solutions. With recent partnerships with tech giants, multi national corps, and multiple well known enterprise customers in the cyber, fraud, supply and change areas, they are on a huge growth trajectory. Responsibilities Craft and deliver outstanding technical presentations and architecturally sound demonstrations of company product and their GenAI suite for clients. Deliver demonstrations, drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to database technologies and other Machine Learning/AI enterprise solutions. Build functional demos for various use cases that incorporate the core database as well as wider GenAI capabilities. Evangelize their GenAI suite & core DB to prospects and potentially in 3rd party presentations and panel discussions designed to generate awareness. Work closely with the wider sales business units based globally. Requirements Bachelor's degree in Computer Science or relevant experience. 3+ years (ideally) of experience in a technical sales or consulting capacity with enterprises, focusing on AI solutions, databases, data warehouses, big data systems, analytics, or machine learning. Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting. Experience or knowledge of vector, NoSQL databases, and/or distributed database systems. Experience building and integrating LLMs, extra points for Retrieval Augmented Generation (RAG) systems. Get in touch today for more details and immediate interview! Seniority level Mid Senior level Employment type Full time Job function Sales and Engineering Industry Software Development
04/02/2026
Full time
This range is provided by Strativ Group. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $175,000.00/yr - $250,000.00/yr Direct message the job poster from Strativ Group Location: Remote (Must be SF Bay Area Based) Package: Up to $250k cash + opts & benefits High revenue generating Tech business offering one of most highly scalable, open source products on the market. They're a cutting edge, multi model GenAI Suite revolutionizing how developers handle complex data with their AI Powered solutions. With recent partnerships with tech giants, multi national corps, and multiple well known enterprise customers in the cyber, fraud, supply and change areas, they are on a huge growth trajectory. Responsibilities Craft and deliver outstanding technical presentations and architecturally sound demonstrations of company product and their GenAI suite for clients. Deliver demonstrations, drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to database technologies and other Machine Learning/AI enterprise solutions. Build functional demos for various use cases that incorporate the core database as well as wider GenAI capabilities. Evangelize their GenAI suite & core DB to prospects and potentially in 3rd party presentations and panel discussions designed to generate awareness. Work closely with the wider sales business units based globally. Requirements Bachelor's degree in Computer Science or relevant experience. 3+ years (ideally) of experience in a technical sales or consulting capacity with enterprises, focusing on AI solutions, databases, data warehouses, big data systems, analytics, or machine learning. Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting. Experience or knowledge of vector, NoSQL databases, and/or distributed database systems. Experience building and integrating LLMs, extra points for Retrieval Augmented Generation (RAG) systems. Get in touch today for more details and immediate interview! Seniority level Mid Senior level Employment type Full time Job function Sales and Engineering Industry Software Development
A growing fintech company in San Francisco is seeking a DevOps Engineer to own and evolve the cloud infrastructure. You will design and operate AWS infrastructure while automating operations and ensuring security. Ideal candidates have robust AWS experience, proficiency with infrastructure-as-code, and a collaborative spirit. This full-time position offers competitive compensation and equity, along with the opportunity to make a significant impact in a fast-paced environment.
04/02/2026
Full time
A growing fintech company in San Francisco is seeking a DevOps Engineer to own and evolve the cloud infrastructure. You will design and operate AWS infrastructure while automating operations and ensuring security. Ideal candidates have robust AWS experience, proficiency with infrastructure-as-code, and a collaborative spirit. This full-time position offers competitive compensation and equity, along with the opportunity to make a significant impact in a fast-paced environment.
Senior Software Engineer - Agentic Systems We are partnered with a highly technical AI research company building advanced AI systems capable of operating across complex, real world engineering environments. The company is well funded, executing large scale programs, and pushing the frontier of AI systems that can reason, plan, and act reliably in the physical world. Their platform focuses on enabling intelligent agents to operate end to end engineering workflows - combining large language models with structured planning, deterministic execution, and real system constraints. This work sits at the intersection of AI research, systems engineering, and applied infrastructure, with a strong emphasis on safety, reproducibility, and first principles design. The team consists of deeply technical engineers and researchers with backgrounds spanning ML systems, distributed infrastructure, and applied AI. They operate in a high ownership environment where individuals design and ship foundational systems that enable entirely new classes of agentic behavior. They are hiring a Senior Software Engineer to design and build the core planning and orchestration layers that allow LLM based agents to reliably execute multi step engineering tasks. You will work closely with systems, data, and ML teams to integrate agent workflows into real production toolchains. This role offers deep technical ownership and the opportunity to shape how intelligent agents interact with complex systems at scale. Base pay range $200,000.00/yr - $400,000.00/yr What You'll Work On Designing and implementing agent planners, orchestration flows, and state machines using modern agent frameworks Building deterministic tool calling pipelines with structured schemas and traceable execution paths Developing action adapters and cross tool interfaces that enable safe, reproducible agent behavior Implementing robust error handling, retries, timeouts, rollbacks, and replay mechanisms Collaborating across systems architecture, data infrastructure, and ML teams to deploy agents into real engineering environments Key Experience Required Strong experience building agent systems, LLM orchestration frameworks, or structured tool calling pipelines Deep intuition for schemas, action abstractions, deterministic execution, and reproducibility Experience reasoning about system level failure modes, edge cases, and safe tool interaction Comfort operating across AI models, systems engineering, and domain specific tooling A builder's mindset - you enjoy ambiguous problems, first principles design, and owning systems end to end Above all, they are looking for engineers who demonstrate exceptional technical depth, strong ownership, and the ability to build reliable agent systems that operate under real world constraints. Please apply ASAP if interested. Seniority level: Mid Senior level Employment type: Full time Job function: Information Technology Referrals increase your chances of interviewing at Strativ Group by 2x Get notified about new System Software Engineer jobs in San Francisco Bay Area.
04/02/2026
Full time
Senior Software Engineer - Agentic Systems We are partnered with a highly technical AI research company building advanced AI systems capable of operating across complex, real world engineering environments. The company is well funded, executing large scale programs, and pushing the frontier of AI systems that can reason, plan, and act reliably in the physical world. Their platform focuses on enabling intelligent agents to operate end to end engineering workflows - combining large language models with structured planning, deterministic execution, and real system constraints. This work sits at the intersection of AI research, systems engineering, and applied infrastructure, with a strong emphasis on safety, reproducibility, and first principles design. The team consists of deeply technical engineers and researchers with backgrounds spanning ML systems, distributed infrastructure, and applied AI. They operate in a high ownership environment where individuals design and ship foundational systems that enable entirely new classes of agentic behavior. They are hiring a Senior Software Engineer to design and build the core planning and orchestration layers that allow LLM based agents to reliably execute multi step engineering tasks. You will work closely with systems, data, and ML teams to integrate agent workflows into real production toolchains. This role offers deep technical ownership and the opportunity to shape how intelligent agents interact with complex systems at scale. Base pay range $200,000.00/yr - $400,000.00/yr What You'll Work On Designing and implementing agent planners, orchestration flows, and state machines using modern agent frameworks Building deterministic tool calling pipelines with structured schemas and traceable execution paths Developing action adapters and cross tool interfaces that enable safe, reproducible agent behavior Implementing robust error handling, retries, timeouts, rollbacks, and replay mechanisms Collaborating across systems architecture, data infrastructure, and ML teams to deploy agents into real engineering environments Key Experience Required Strong experience building agent systems, LLM orchestration frameworks, or structured tool calling pipelines Deep intuition for schemas, action abstractions, deterministic execution, and reproducibility Experience reasoning about system level failure modes, edge cases, and safe tool interaction Comfort operating across AI models, systems engineering, and domain specific tooling A builder's mindset - you enjoy ambiguous problems, first principles design, and owning systems end to end Above all, they are looking for engineers who demonstrate exceptional technical depth, strong ownership, and the ability to build reliable agent systems that operate under real world constraints. Please apply ASAP if interested. Seniority level: Mid Senior level Employment type: Full time Job function: Information Technology Referrals increase your chances of interviewing at Strativ Group by 2x Get notified about new System Software Engineer jobs in San Francisco Bay Area.
A leading AI research company in San Francisco is seeking a Senior Software Engineer for building core planning and orchestration layers for intelligent agents. This role involves designing systems that integrate agent workflows into production while maintaining safety and reproducibility. The ideal candidate will have extensive experience with agent frameworks and a strong builder's mindset, working closely with systems and ML teams to deploy solutions in real engineering environments.
04/02/2026
Full time
A leading AI research company in San Francisco is seeking a Senior Software Engineer for building core planning and orchestration layers for intelligent agents. This role involves designing systems that integrate agent workflows into production while maintaining safety and reproducibility. The ideal candidate will have extensive experience with agent frameworks and a strong builder's mindset, working closely with systems and ML teams to deploy solutions in real engineering environments.
A leading tech firm is seeking a Mid-Senior level Technical Sales Engineer to champion their GenAI suite. The role involves delivering compelling presentations to clients, driving Proof of Concepts, and collaborating with global sales teams. Candidates should have a Bachelor's degree in Computer Science, along with 3+ years of relevant experience in AI solutions and database management. This is a full-time, remote position with a competitive salary package aimed at professionals in the SF Bay Area.
04/02/2026
Full time
A leading tech firm is seeking a Mid-Senior level Technical Sales Engineer to champion their GenAI suite. The role involves delivering compelling presentations to clients, driving Proof of Concepts, and collaborating with global sales teams. Candidates should have a Bachelor's degree in Computer Science, along with 3+ years of relevant experience in AI solutions and database management. This is a full-time, remote position with a competitive salary package aimed at professionals in the SF Bay Area.
This range is provided by Strativ Group. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $175,000.00/yr - $300,000.00/yr AI Native Fintech Location: San Francisco (Onsite 4 or 5 days per week) Funding: $100M+ Salary: $170K - $300K + Strong equity Well-funded AI-native fintech modernizing how accounting and finance teams operate. With $100M+ in backing from top-tier investors and strong product-market fit, we're tackling a category that hasn't meaningfully changed in decades and rebuilding it from first principles. This is a chance to join a small, high caliber engineering team building core financial infrastructure, data systems, and AI-driven workflows that power mission critical use cases for modern companies. The role We're looking for product minded full stack or backend engineers who want real ownership. You'll work end-to-end - from understanding user problems to designing systems, shipping features, and iterating in production. Engineers here don't just write code, they help shape product direction. You'll operate in a fast moving, in person environment where quality, speed, and pragmatism all matter. What you'll work on Core financial and accounting systems that ingest, transform, reconcile, and report on complex data Backend services and APIs that power automation, workflows, and AI-assisted experiences Data pipelines and platforms that prioritize correctness, traceability, and performance Product features that blend structured systems with thoughtful UX Internal tooling and abstractions that allow the product to scale without slowing down development What we're looking for 2+ years of experience building production software Strong backend fundamentals A product mindset - you care about users, tradeoffs, and outcomes, not just implementation Comfort operating in ambiguous, fast-changing environments Strong ownership mentality and bias toward shipping How we work In-person, highly collaborative team based in San Francisco (4 or 5 days per week) Small teams, large ownership, minimal process overhead Engineers talk to users, influence roadmap decisions, and own outcomes High trust, high standards, and a deep respect for the craft Build foundational systems in a category that desperately needs reinvention Work alongside experienced founders, engineers, and product leaders Meaningful equity at a well-backed, high-growth company Competitive compensation and top-tier benefits A chance to define how modern financial software is built - not iterate on legacy patterns Seniority level Mid-Senior level Employment type Full-time Job function Accounting/Auditing, Finance, and Engineering Industries Financial Services and Accounting
04/02/2026
Full time
This range is provided by Strativ Group. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $175,000.00/yr - $300,000.00/yr AI Native Fintech Location: San Francisco (Onsite 4 or 5 days per week) Funding: $100M+ Salary: $170K - $300K + Strong equity Well-funded AI-native fintech modernizing how accounting and finance teams operate. With $100M+ in backing from top-tier investors and strong product-market fit, we're tackling a category that hasn't meaningfully changed in decades and rebuilding it from first principles. This is a chance to join a small, high caliber engineering team building core financial infrastructure, data systems, and AI-driven workflows that power mission critical use cases for modern companies. The role We're looking for product minded full stack or backend engineers who want real ownership. You'll work end-to-end - from understanding user problems to designing systems, shipping features, and iterating in production. Engineers here don't just write code, they help shape product direction. You'll operate in a fast moving, in person environment where quality, speed, and pragmatism all matter. What you'll work on Core financial and accounting systems that ingest, transform, reconcile, and report on complex data Backend services and APIs that power automation, workflows, and AI-assisted experiences Data pipelines and platforms that prioritize correctness, traceability, and performance Product features that blend structured systems with thoughtful UX Internal tooling and abstractions that allow the product to scale without slowing down development What we're looking for 2+ years of experience building production software Strong backend fundamentals A product mindset - you care about users, tradeoffs, and outcomes, not just implementation Comfort operating in ambiguous, fast-changing environments Strong ownership mentality and bias toward shipping How we work In-person, highly collaborative team based in San Francisco (4 or 5 days per week) Small teams, large ownership, minimal process overhead Engineers talk to users, influence roadmap decisions, and own outcomes High trust, high standards, and a deep respect for the craft Build foundational systems in a category that desperately needs reinvention Work alongside experienced founders, engineers, and product leaders Meaningful equity at a well-backed, high-growth company Competitive compensation and top-tier benefits A chance to define how modern financial software is built - not iterate on legacy patterns Seniority level Mid-Senior level Employment type Full-time Job function Accounting/Auditing, Finance, and Engineering Industries Financial Services and Accounting
Base pay range $180,000.00/yr - $275,000.00/yr We're building an AI-native fintech platform that's modernizing how finance teams operate. Backed by top tier investors and serving a fast growing customer base, we're focused on creating secure, scalable systems that can support complex financial workflows at speed. Position DevOps Engineer - Own and evolve the cloud infrastructure that underpins our product. Deeply cares about reliability, security, and automation, and enjoys working closely with application engineers. Responsibilities Design, build, and operate cloud infrastructure on AWS using infrastructure-as-code. Own deployment pipelines and automate operational workflows to keep the team moving fast. Implement monitoring, alerting, and observability to ensure system health and rapid incident response. Manage and optimize production databases, including performance tuning, backups, and replication. Establish and enforce infrastructure security best practices across environments. Partner with product and engineering teams to support smooth releases and resolve production issues. Build for high availability, fault tolerance, and disaster recovery from day one. Qualifications Strong hands on experience with AWS in production environments. Proficiency with infrastructure-as-code tools (Terraform or equivalent). Experience automating systems using Python or similar scripting languages. Solid understanding of PostgreSQL operations and performance considerations. Familiarity with modern observability tools (e.g. New Relic, Sentry, Datadog). Strong grasp of cloud security fundamentals, including IAM and network design. Experience supporting CI/CD pipelines and containerized workloads. Experience operating systems in high traffic or mission critical environments. Exposure to Kubernetes or container orchestration at scale. Knowledge of additional scripting or systems languages. Experience working in early stage or high growth startups. Own critical infrastructure at a growing, well funded AI native fintech. Work closely with a small, highly capable engineering team. In person, highly collaborative culture based in San Francisco. Competitive compensation and meaningful equity. Opportunity to build foundational systems that will scale with the company. If you enjoy building reliable systems, automating everything you can, and being close to both product and engineering decisions, this role offers real ownership and impact. Seniority Level Mid Senior level Employment Type Full time Job Function Finance and Accounting/Auditing Industry Financial Services and Accounting Benefits Medical insurance 401(k) Pension plan
04/02/2026
Full time
Base pay range $180,000.00/yr - $275,000.00/yr We're building an AI-native fintech platform that's modernizing how finance teams operate. Backed by top tier investors and serving a fast growing customer base, we're focused on creating secure, scalable systems that can support complex financial workflows at speed. Position DevOps Engineer - Own and evolve the cloud infrastructure that underpins our product. Deeply cares about reliability, security, and automation, and enjoys working closely with application engineers. Responsibilities Design, build, and operate cloud infrastructure on AWS using infrastructure-as-code. Own deployment pipelines and automate operational workflows to keep the team moving fast. Implement monitoring, alerting, and observability to ensure system health and rapid incident response. Manage and optimize production databases, including performance tuning, backups, and replication. Establish and enforce infrastructure security best practices across environments. Partner with product and engineering teams to support smooth releases and resolve production issues. Build for high availability, fault tolerance, and disaster recovery from day one. Qualifications Strong hands on experience with AWS in production environments. Proficiency with infrastructure-as-code tools (Terraform or equivalent). Experience automating systems using Python or similar scripting languages. Solid understanding of PostgreSQL operations and performance considerations. Familiarity with modern observability tools (e.g. New Relic, Sentry, Datadog). Strong grasp of cloud security fundamentals, including IAM and network design. Experience supporting CI/CD pipelines and containerized workloads. Experience operating systems in high traffic or mission critical environments. Exposure to Kubernetes or container orchestration at scale. Knowledge of additional scripting or systems languages. Experience working in early stage or high growth startups. Own critical infrastructure at a growing, well funded AI native fintech. Work closely with a small, highly capable engineering team. In person, highly collaborative culture based in San Francisco. Competitive compensation and meaningful equity. Opportunity to build foundational systems that will scale with the company. If you enjoy building reliable systems, automating everything you can, and being close to both product and engineering decisions, this role offers real ownership and impact. Seniority Level Mid Senior level Employment Type Full time Job Function Finance and Accounting/Auditing Industry Financial Services and Accounting Benefits Medical insurance 401(k) Pension plan
A leading fintech company in San Francisco is looking for skilled product minded engineers for full-stack or backend roles. This full-time position offers the chance to work on modern financial systems, lead product direction, and collaborate in a small, high-caliber team. Candidates should have at least 2 years of experience, strong backend skills, and a product mindset. Competitive compensation, meaningful equity, and a collaborative environment are part of the package.
04/02/2026
Full time
A leading fintech company in San Francisco is looking for skilled product minded engineers for full-stack or backend roles. This full-time position offers the chance to work on modern financial systems, lead product direction, and collaborate in a small, high-caliber team. Candidates should have at least 2 years of experience, strong backend skills, and a product mindset. Competitive compensation, meaningful equity, and a collaborative environment are part of the package.