AI Forward Deployed Strategists are the hybrid role at Varick. You embed with enterprise clients the way a top-tier consultant would, and you're the single thread from the first client conversation to the system running in production.
This is a role for people who think like strategists and operators. You sit across the table from both a CFO and a junior controller, diagnose what's actually broken in their operation, and then translate that into a clear brief that our engineers can build against. You don't need to write the code - you need to know what to build, why it matters, and how to land it with the client.
You need to be the person in the room who reframes the problem, asks the question no one else thought to ask, and earns the right to a follow-on engagement. This is the bar.
• Embed with client leadership and operations teams to understand their business from the ground up, map workflows, and identify where AI can create real leverage
• Run discovery engagements that look more like a McKinsey study than a typical software project — interviews, process mapping, hypothesis-driven analysis, executive readouts
• Translate ambiguous business problems into concrete specs that our engineering team can build against
• Own engagements end to end: from the first conversation with a COO to the handoff of a running system
• Present findings, frameworks, and recommendations directly to C-suite stakeholders, and defend them under pressure
• Feed what you learn in the field back into Varick's playbooks, patterns, and platform
• A track record of solving hard, ambiguous problems for senior stakeholders — ideally at a top-tier consulting firm (McKinsey, BCG, Bain) or as a founder
• First-principles thinker. You don't reach for the framework or the template — you reason from the actual business problem in front of you
• Exceptional client presence. You can hold a room of executives, push back on a CFO without losing them, and make a COO feel like you understand their business better than their last three vendors did
• Founder or operator instincts. You've built something, run something, or owned a P&L — and you know what it feels like when the work actually has to ship
• Strong commercial sense. You understand where the value is, who's paying for it, and what a successful engagement looks like from the client's side of the table
• AI-native. You use AI tools every day, you've followed the space closely, and you have a real point of view on where agents work, where they don't, and what's coming next. You can scope an AI implementation and communicate clearly with engineers about what to build
• Extreme ownership. You run your engagements end to end with minimal oversight, and you're accountable for the outcome, not the output
• Willingness to travel to client sites (10–20%)
• Senior experience at a top-tier strategy firm (McKinsey, BCG, Bain), especially with a digital, AI, or operations focus
• A track record of senior client work - owning relationships with C-suite stakeholders, running engagements
• Founder or early-employee experience at a startup, especially one that sold into the enterprise
• Experience leading transformation or operations work inside a large enterprise - finance, ops, or strategy functions at a Fortune 500
• Hands-on experience deploying AI tools in a real business context, even if you weren't the one writing the code
• Early to the thesis. We bet on this category before it was obvious — and we're already working with billion-dollar companies
• Real ownership, not slide-deck purgatory. If you're tired of making recommendations that never get implemented, or spending a month polishing a deck no one reads, come build something that actually ships and runs
• High-bar team. Everyone here is someone you'll want to learn from — operators, engineers, and strategists at the top of their craft.
• Direct access to operators and executives (CFOs, COOs, ops leads), with none of the layers, decks-for-decks-sake, or process overhead of a traditional firm
• You own the full loop: find the problem, frame it, scope the solution, see it ship, see it run
• Small, early team — your judgment shapes the product, the playbooks, and how Varick scales
*We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Employment is subject to a standard confidentiality and non-disclosure agreement.
","descriptionPlain":"ABOUT THE ROLE:\n\nAI Forward Deployed Strategists are the hybrid role at Varick. You embed with enterprise clients the way a top-tier consultant would, and you're the single thread from the first client conversation to the system running in production.\n\nThis is a role for people who think like strategists and operators. You sit across the table from both a CFO and a junior controller, diagnose what's actually broken in their operation, and then translate that into a clear brief that our engineers can build against. You don't need to write the code - you need to know what to build, why it matters, and how to land it with the client.\n\nYou need to be the person in the room who reframes the problem, asks the question no one else thought to ask, and earns the right to a follow-on engagement. This is the bar.\n\n\n\n\nWHAT YOU'LL DO:\n\n• Embed with client leadership and operations teams to understand their business from the ground up, map workflows, and identify where AI can create real leverage\n\n• Run discovery engagements that look more like a McKinsey study than a typical software project — interviews, process mapping, hypothesis-driven analysis, executive readouts\n\n• Translate ambiguous business problems into concrete specs that our engineering team can build against\n\n• Own engagements end to end: from the first conversation with a COO to the handoff of a running system\n\n• Present findings, frameworks, and recommendations directly to C-suite stakeholders, and defend them under pressure\n\n• Feed what you learn in the field back into Varick's playbooks, patterns, and platform\n\n\n\n\nWHAT WE'RE LOOKING FOR:\n\n• A track record of solving hard, ambiguous problems for senior stakeholders — ideally at a top-tier consulting firm (McKinsey, BCG, Bain) or as a founder\n\n• First-principles thinker. You don't reach for the framework or the template — you reason from the actual business problem in front of you\n\n• Exceptional client presence. You can hold a room of executives, push back on a CFO without losing them, and make a COO feel like you understand their business better than their last three vendors did\n\n• Founder or operator instincts. You've built something, run something, or owned a P&L — and you know what it feels like when the work actually has to ship\n\n• Strong commercial sense. You understand where the value is, who's paying for it, and what a successful engagement looks like from the client's side of the table\n\n• AI-native. You use AI tools every day, you've followed the space closely, and you have a real point of view on where agents work, where they don't, and what's coming next. You can scope an AI implementation and communicate clearly with engineers about what to build\n\n• Extreme ownership. You run your engagements end to end with minimal oversight, and you're accountable for the outcome, not the output\n\n• Willingness to travel to client sites (10–20%)\n\n\n\n\nHELPFUL EXPERIENCE:\n\n• Senior experience at a top-tier strategy firm (McKinsey, BCG, Bain), especially with a digital, AI, or operations focus\n\n• A track record of senior client work - owning relationships with C-suite stakeholders, running engagements\n\n• Founder or early-employee experience at a startup, especially one that sold into the enterprise\n\n• Experience leading transformation or operations work inside a large enterprise - finance, ops, or strategy functions at a Fortune 500\n\n• Hands-on experience deploying AI tools in a real business context, even if you weren't the one writing the code\n\n \n\n\nWHY VARICK:\n\n• Early to the thesis. We bet on this category before it was obvious — and we're already working with billion-dollar companies\n\n• Real ownership, not slide-deck purgatory. If you're tired of making recommendations that never get implemented, or spending a month polishing a deck no one reads, come build something that actually ships and runs\n\n• High-bar team. Everyone here is someone you'll want to learn from — operators, engineers, and strategists at the top of their craft.\n\n• Direct access to operators and executives (CFOs, COOs, ops leads), with none of the layers, decks-for-decks-sake, or process overhead of a traditional firm\n\n• You own the full loop: find the problem, frame it, scope the solution, see it ship, see it run\n\n• Small, early team — your judgment shapes the product, the playbooks, and how Varick scales\n\n\n\n*We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Employment is subject to a standard confidentiality and non-disclosure agreement.","compensation":{"compensationTierSummary":"$140K – $280K • Offers Equity","scrapeableCompensationSalarySummary":"$140K - $280K","compensationTiers":[{"id":"db02a210-6716-4f0f-82f7-9dd149dc5f83","tierSummary":"$140K – $280K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6fda0718-58cf-4b91-8254-247963555e31","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"00906f5f-05ec-45c2-9f53-b74b808fd16f","summary":"$140K – $280K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":280000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":280000}]}},{"id":"ddfb7b91-5f71-495f-a03a-55d19a77b340","title":"AI Engagement Manager","department":"Product","team":"Product","employmentType":"FullTime","location":"SF","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-17T03:20:16.512+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":null,"jobUrl":"https://jobs.ashbyhq.com/Varick-Agents/ddfb7b91-5f71-495f-a03a-55d19a77b340","applyUrl":"https://jobs.ashbyhq.com/Varick-Agents/ddfb7b91-5f71-495f-a03a-55d19a77b340/application","descriptionHtml":"AI Engagement Managers are the senior seat at Varick. You own client accounts end to end — from the first conversation with a CFO to the AI agents running in production to the second and third engagements that follow — and you lead the Forward Deployed Strategists and Engineers doing the work on the ground.
This is a role for people who have already run a real engagement at a top-tier firm and want to run them with sharper teeth, faster cycles, and outcomes that actually ship. You decide what we sell, how we scope it, who we say no to, and what we sell next. You are the person the CFO calls back. You are also the person your team looks to when an exec pushes back and the room gets quiet. You need to be able to walk into a room of operators twice your tenure and reframe the problem.
• Lead the team on the ground — Forward Deployed Strategists and Engineers report to you during the engagement, and you're accountable for what they ship and how the client experiences it
• Sit across from CFOs, COOs, and CROs — run the executive cadence, present findings, defend recommendations under pressure
• Run the motion end to end — first meeting, pre-meeting brief, post-meeting follow-up, custom demo, engagement letter, expansion — and tighten the playbook for everyone behind you
• Translate ambiguous business problems into engagements with clear outcomes, ROI targets, and exec sponsors — and hold the line on scope when clients try to drift
• Identify opportunities to expand accounts post-deployment — map the org, find the next set of high-leverage workflows, and convert one engagement into three
• Feed every account back into Varick's playbooks, patterns, and platform so the next EM moves twice as fast
• A track record of owning — not contributing to — a 7- or 8-figure engagement at a top-tier consulting firm (McKinsey, BCG, Bain) or equivalent, where you ran the team, owned the client relationship, and were on the hook for the outcome
• Executive presence. You hold a room of C-suite stakeholders, push back on a COO without losing them, and make a CFO feel like you understand their P&L better than their own team does
• First-principles thinker. You don't reach for the framework or the template — you reason from the actual business problem and back into a recommendation that holds up under stress-testing
• People leadership. You've run a team of consultants or operators and made them better. Your reports have gone on to do bigger things because of how you ran your engagements
• Founder or operator instincts. You've built something, run a P&L, or owned an operating function — and you know what it feels like when the work actually has to ship, not just get presented
• AI-native. You use AI tools every day, you've followed the space closely, and you have a real point of view on where agents work, where they don't, and what's coming next. You can scope an AI implementation and communicate clearly with engineers about what to build
• Extreme ownership. You run your engagements with minimal oversight, and you're accountable for the outcome, not the output
• Based in SF or willing to relocate. Comfortable with 10-20% travel to client sites.
• Engagement Manager / Project Leader / Case Team Leader at MBB (McKinsey, BCG, Bain), especially with a digital, AI, finance, or operations focus
• Principal or VP at a top investment bank or PE firm with operating-side exposure to portfolio companies
• Former COO, VP Operations, or Chief of Staff at a high-growth company — you've sat on the buy side of a consulting engagement and know what makes one actually work
• Founder or early operator at a company that sold into the enterprise, particularly into the office of the CFO or COO
• Hands-on experience deploying AI tools in a real business context, even if you weren't the one writing the code
• Early to the thesis. We bet on this category before it was obvious — and we're already working with billion-dollar companies
• Real ownership, not slide-deck purgatory. If you're tired of making recommendations that never get implemented, or spending a month polishing a deck no one reads, come build something that actually ships and runs
• High-bar team. Everyone here is someone you'll want to learn from — operators, engineers, and strategists at the top of their craft.
• Direct access to operators and executives (CFOs, COOs, ops leads), with none of the layers, decks-for-decks-sake, or process overhead of a traditional firm
• You own the full loop: find the problem, frame it, scope the solution, see it ship, see it run
• Small, early team — your judgment shapes the product, the playbooks, and how Varick scales
*We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Employment is subject to a standard confidentiality and non-disclosure agreement.
","descriptionPlain":"ABOUT THE ROLE:\n\nAI Engagement Managers are the senior seat at Varick. You own client accounts end to end — from the first conversation with a CFO to the AI agents running in production to the second and third engagements that follow — and you lead the Forward Deployed Strategists and Engineers doing the work on the ground.\n\nThis is a role for people who have already run a real engagement at a top-tier firm and want to run them with sharper teeth, faster cycles, and outcomes that actually ship. You decide what we sell, how we scope it, who we say no to, and what we sell next. You are the person the CFO calls back. You are also the person your team looks to when an exec pushes back and the room gets quiet. You need to be able to walk into a room of operators twice your tenure and reframe the problem.\n\n \n\n\nWHAT YOU'LL DO:\n\n• Lead the team on the ground — Forward Deployed Strategists and Engineers report to you during the engagement, and you're accountable for what they ship and how the client experiences it\n\n• Sit across from CFOs, COOs, and CROs — run the executive cadence, present findings, defend recommendations under pressure\n\n• Run the motion end to end — first meeting, pre-meeting brief, post-meeting follow-up, custom demo, engagement letter, expansion — and tighten the playbook for everyone behind you\n\n• Translate ambiguous business problems into engagements with clear outcomes, ROI targets, and exec sponsors — and hold the line on scope when clients try to drift\n\n• Identify opportunities to expand accounts post-deployment — map the org, find the next set of high-leverage workflows, and convert one engagement into three\n\n• Feed every account back into Varick's playbooks, patterns, and platform so the next EM moves twice as fast\n\n \n\n\nWHAT WE'RE LOOKING FOR:\n\n• A track record of owning — not contributing to — a 7- or 8-figure engagement at a top-tier consulting firm (McKinsey, BCG, Bain) or equivalent, where you ran the team, owned the client relationship, and were on the hook for the outcome\n\n• Executive presence. You hold a room of C-suite stakeholders, push back on a COO without losing them, and make a CFO feel like you understand their P&L better than their own team does\n\n• First-principles thinker. You don't reach for the framework or the template — you reason from the actual business problem and back into a recommendation that holds up under stress-testing\n\n• People leadership. You've run a team of consultants or operators and made them better. Your reports have gone on to do bigger things because of how you ran your engagements\n\n• Founder or operator instincts. You've built something, run a P&L, or owned an operating function — and you know what it feels like when the work actually has to ship, not just get presented\n\n• AI-native. You use AI tools every day, you've followed the space closely, and you have a real point of view on where agents work, where they don't, and what's coming next. You can scope an AI implementation and communicate clearly with engineers about what to build\n\n• Extreme ownership. You run your engagements with minimal oversight, and you're accountable for the outcome, not the output\n\n• Based in SF or willing to relocate. Comfortable with 10-20% travel to client sites.\n\n \n\n\nHELPFUL EXPERIENCE:\n\n• Engagement Manager / Project Leader / Case Team Leader at MBB (McKinsey, BCG, Bain), especially with a digital, AI, finance, or operations focus\n\n• Principal or VP at a top investment bank or PE firm with operating-side exposure to portfolio companies\n\n• Former COO, VP Operations, or Chief of Staff at a high-growth company — you've sat on the buy side of a consulting engagement and know what makes one actually work\n\n• Founder or early operator at a company that sold into the enterprise, particularly into the office of the CFO or COO\n\n• Hands-on experience deploying AI tools in a real business context, even if you weren't the one writing the code\n\n \n\n\nWHY VARICK:\n\n• Early to the thesis. We bet on this category before it was obvious — and we're already working with billion-dollar companies\n\n• Real ownership, not slide-deck purgatory. If you're tired of making recommendations that never get implemented, or spending a month polishing a deck no one reads, come build something that actually ships and runs\n\n• High-bar team. Everyone here is someone you'll want to learn from — operators, engineers, and strategists at the top of their craft.\n\n• Direct access to operators and executives (CFOs, COOs, ops leads), with none of the layers, decks-for-decks-sake, or process overhead of a traditional firm\n\n• You own the full loop: find the problem, frame it, scope the solution, see it ship, see it run\n\n• Small, early team — your judgment shapes the product, the playbooks, and how Varick scales\n\n \n \n\n*We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Employment is subject to a standard confidentiality and non-disclosure agreement.","compensation":{"compensationTierSummary":"$200K – $320K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $320K","compensationTiers":[{"id":"f42cf36f-02c3-43db-9421-b397007b52a7","tierSummary":"$200K – $320K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"be184cd3-de4e-47e3-9dc9-63c9acee9316","summary":"$200K – $320K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":320000},{"id":"872ba0e2-c686-4577-a5e4-b83cff744be4","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":320000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"b85922b5-485f-4c04-9800-fb50f1e5660a","title":"Senior Software Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-29T00:19:02.691+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/Varick-Agents/b85922b5-485f-4c04-9800-fb50f1e5660a","applyUrl":"https://jobs.ashbyhq.com/Varick-Agents/b85922b5-485f-4c04-9800-fb50f1e5660a/application","descriptionHtml":"About Varick. Varick builds AI agents that take over real operational workflows inside the world's largest enterprises. Our forward-deployed engineers and strategists embed with client teams, map how work actually runs, then our engineers build the agents into production. We're venture-backed, revenue-generating from day one, and already in production inside several of these companies. You'll join an elite team from Meta, AWS Bedrock, Citadel Securities, McKinsey, BCG, Stanford, and more.
The Role. You'll build Varick OS and the agents that run on it: the runtime that executes long-running workflows against enterprise ERP and CRM environments, the retrieval and context layer those agents reason over, the eval and trace infrastructure that keeps quality measurable, the model layer that keeps us provider-agnostic, and the deployment tooling that ships all of it into environments we don't control. The surface area is large, and decisions you make in your first quarter will still be load-bearing in two years. You'll work alongside our lead engineer, who built the current stack from scratch. This is not a client-facing role: our forward-deployed team runs the audits and interviews, then hands you the workflow spec. You build it, and pull whatever repeats back into the platform so the next client is faster.
How We Build. We run an agent-driven development workflow: thorough specs up front, PRs graded against those specs, and eval suites that gate what ships. It's how a small team holds velocity without the quality drift that usually comes with it.
What You'll Do.
Build the agent runtime. Long-running workflows against enterprise systems that go down mid-run: durable execution, safe retries, idempotency, retrieval and context assembly, and human approval gates that hold up when a step touches a client's general ledger.
Own the model layer. Provider-agnostic routing with real fallback, cost and latency budgets, and no lock-in to any single vendor.
Build evals and tracing. Golden sets, regression suites, and traces over every intermediate step, so we catch a drop in agent quality before a client emails us.
Ship into client environments. Package, deploy, version, and upgrade the platform across single-tenant deployments, including into a client's own cloud account.
Turn audits into production agents. Take workflow specs from our forward-deployed team, interrogate them, build them, and generalize the parts that repeat.
What We're Looking For.
3+ years building production software, with real ownership of systems other people depended on
Strong backend and distributed-systems fundamentals: state, concurrency, idempotency, failure handling
Experience operating production systems at scale: Kubernetes, cloud infrastructure, release management across versions
At least one LLM system shipped to real users, and a clear account of how it failed in production
A working understanding of inference economics, evaluation, and model behavior
A habit of interrogating a spec instead of implementing it obediently, and comfort with fast, low-process development
A track record of digging into code, data, and root causes directly, and strong communication with technical and non-technical people alike
Nice to Have.
Shipping software into environments you don't control: BYOC, self-hosted, on-prem, or air-gapped
Durable execution or workflow orchestration (Temporal or similar)
Enterprise environments with strict security and reliability requirements (SOC 2)
Deep familiarity with an enterprise ERP or CRM system of record: SAP, Oracle, NetSuite, Salesforce, Workday
Founding or early engineer experience at a startup
What This Role Isn't.
Not a research role. You won't train or fine-tune models.
Not prompt engineering. Prompts are a small fraction of what makes an agent work in production.
Not client-facing. You won't run audits, sit in discovery interviews, or manage stakeholders.
What We Offer. Meaningful equity (0.1-0.5%) at a stage where it still compounds, real ownership of the architecture decisions still open, scope that grows with every deployment, a team that hires up, flexible PTO, free lunch and dinner in the office, Ubers home if you're staying late, and monthly team dinners.
Logistics. On-site in our San Francisco Financial District office, 5-6 days a week. Comfortable with startup hours, for startup upside.
Equal opportunity employer. Employment is subject to a standard confidentiality and non-disclosure agreement.
","descriptionPlain":"About Varick. Varick builds AI agents that take over real operational workflows inside the world's largest enterprises. Our forward-deployed engineers and strategists embed with client teams, map how work actually runs, then our engineers build the agents into production. We're venture-backed, revenue-generating from day one, and already in production inside several of these companies. You'll join an elite team from Meta, AWS Bedrock, Citadel Securities, McKinsey, BCG, Stanford, and more.\n\nThe Role. You'll build Varick OS and the agents that run on it: the runtime that executes long-running workflows against enterprise ERP and CRM environments, the retrieval and context layer those agents reason over, the eval and trace infrastructure that keeps quality measurable, the model layer that keeps us provider-agnostic, and the deployment tooling that ships all of it into environments we don't control. The surface area is large, and decisions you make in your first quarter will still be load-bearing in two years. You'll work alongside our lead engineer, who built the current stack from scratch. This is not a client-facing role: our forward-deployed team runs the audits and interviews, then hands you the workflow spec. You build it, and pull whatever repeats back into the platform so the next client is faster.\n\nHow We Build. We run an agent-driven development workflow: thorough specs up front, PRs graded against those specs, and eval suites that gate what ships. It's how a small team holds velocity without the quality drift that usually comes with it.\n\nWhat You'll Do.\n\n - Build the agent runtime. Long-running workflows against enterprise systems that go down mid-run: durable execution, safe retries, idempotency, retrieval and context assembly, and human approval gates that hold up when a step touches a client's general ledger.\n\n - Own the model layer. Provider-agnostic routing with real fallback, cost and latency budgets, and no lock-in to any single vendor.\n\n - Build evals and tracing. Golden sets, regression suites, and traces over every intermediate step, so we catch a drop in agent quality before a client emails us.\n\n - Ship into client environments. Package, deploy, version, and upgrade the platform across single-tenant deployments, including into a client's own cloud account.\n\n - Turn audits into production agents. Take workflow specs from our forward-deployed team, interrogate them, build them, and generalize the parts that repeat.\n\nWhat We're Looking For.\n\n - 3+ years building production software, with real ownership of systems other people depended on\n\n - Strong backend and distributed-systems fundamentals: state, concurrency, idempotency, failure handling\n\n - Experience operating production systems at scale: Kubernetes, cloud infrastructure, release management across versions\n\n - At least one LLM system shipped to real users, and a clear account of how it failed in production\n\n - A working understanding of inference economics, evaluation, and model behavior\n\n - A habit of interrogating a spec instead of implementing it obediently, and comfort with fast, low-process development\n\n - A track record of digging into code, data, and root causes directly, and strong communication with technical and non-technical people alike\n\nNice to Have.\n\n - Shipping software into environments you don't control: BYOC, self-hosted, on-prem, or air-gapped\n\n - Durable execution or workflow orchestration (Temporal or similar)\n\n - Enterprise environments with strict security and reliability requirements (SOC 2)\n\n - Deep familiarity with an enterprise ERP or CRM system of record: SAP, Oracle, NetSuite, Salesforce, Workday\n\n - Founding or early engineer experience at a startup\n\nWhat This Role Isn't.\n\n - Not a research role. You won't train or fine-tune models.\n\n - Not prompt engineering. Prompts are a small fraction of what makes an agent work in production.\n\n - Not client-facing. You won't run audits, sit in discovery interviews, or manage stakeholders.\n\nWhat We Offer. Meaningful equity (0.1-0.5%) at a stage where it still compounds, real ownership of the architecture decisions still open, scope that grows with every deployment, a team that hires up, flexible PTO, free lunch and dinner in the office, Ubers home if you're staying late, and monthly team dinners.\n\nLogistics. On-site in our San Francisco Financial District office, 5-6 days a week. Comfortable with startup hours, for startup upside.\n\nEqual opportunity employer. Employment is subject to a standard confidentiality and non-disclosure agreement.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}