{"id":3893339,"url":"https://alion.io/job/datasnipper-senior-product-manager-agent-builder-2","title":"Senior Product Manager, Agent Builder","company":{"id":4724,"name":"DataSnipper","domain":"datasnipper.com","url":"https://alion.io/company/datasnipper","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":195000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false}],"status":"live","first_seen_at":"2026-11-06T18:22:33Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T10:24:23Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are looking for a skilled and passionate Senior Product Manager to join our Agent Builder team in our NYC office. Working in a high-growth scale-up, you’ll have the unique opportunity to drive innovation at scale while contributing to a company transforming the world of audit and finance.\nAbout the role:\nAgent Builder is where firms turn their own methodology and knowledge into AI agents, and manage those agents for their whole life, from definition to retirement. A generic agent knows nothing about how a firm works. Its methodology, guidance, templates and past work are what make an agent behave like one of the firm's own people, and that knowledge and context layer is what sets our agents apart.\nYou'll own the Agent Builder product in Alwin, our agentic platform for audit and finance. That means the definition model behind an agent, how firms test and publish agents they can trust, and how those agents are versioned, governed and retired at scale. There's no playbook for letting professionals build, run and govern production agents in a regulated domain. You'll help write it.\nThis is a product role with a strong technical bent, and we welcome candidates from product or technical PM backgrounds. You'll work closely with a new engineering team in New York, with our Agent Runtime, Evals and Document Intelligence teams in Amsterdam, and with the customers and domain experts who define what a good agent looks like.\nWhy DataSnipper?\nThe hardest AI problems aren't about getting an answer fast. They're about getting one people can trust.\nWe believe trust is essential to how society works. Every day, we rely on information that's been independently verified, from financial statements to the products we buy, to the sustainability claims companies make. Behind that trust are audit and finance professionals who examine evidence, verify information and hold organizations accountable.\nAt DataSnipper, we build AI solutions that empower those professionals. By making evidence easier to trace and verify, we help them focus on the judgment and expertise that make their work so important.\nFor our product and engineering team, this is where things get exciting. In audit, a plausible answer isn't good enough. Every output has to be explainable and traceable back to its source. We've just launched a brand new agentic platform, Alwin by DataSnipper. AI agents running in the cloud across hundreds of documents at once, reasoning across PDF, Word and Excel, with a full audit trail behind every step. There are lots of greenfield problems ahead, and real room to shape what we build and how we build it.\nAnd we build at scale. More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 alone, the DataSnipper platform delivered more than $1.4 billion in productivity savings to is customers. Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, and as proud members of 1% for the Planet, we care about how we grow, not just how fast.\nIf you want to build AI that professionals trust with work that really matters, this is your chance to help shape the future of audit and finance and do the best work of your career along the way.\nWhat you'll own\nKnowledge and context: how a firm's methodology, guidance, templates and prior work are captured, kept current, permissioned and served to agents at the moment they need them\n\nDefinition: the authoring experience and the definition model that turn a procedure into a multi-step agent: steps, tools, knowledge sources, thresholds and human-in-the-loop gates\n\nTest and publish: how builders evaluate an agent against real cases before it ships, and the review and approval it passes before it reaches the Agent Library\n\nRun and observe: tracing what an agent did on a live engagement, which knowledge it used and why\n\nGovern, version and retire: permissions, change history, approvals, rolling out new versions without breaking work in progress, and retiring agents and outdated knowledge cleanly\n\nWhat You Will Do:\nSet the product direction and roadmap for Agent Builder, and make the trade-offs explicit\n\nGet the abstraction right: decide how much power builders get and where the guardrails sit, so agents are flexible enough to encode real methodology and consistent enough to trust\n\nDefine how we prove an agent works, with evals on real cases and results reported with a stated method, not a headline accuracy number\n\nTreat lifecycle as product: versioning, approvals, rollout and retirement designed in from day one\n\nKeep confidentiality central: what an agent learns from one customer's work must never reach another\n\nPrototype flows yourself before writing specs, then write short specs and decision memos engineers can build from\n\nWork with forward-deployed engineers, solutions architects and go-to-market teams, and turn what they learn on enterprise rollouts into platform capabilities rather than one-offs\n\nRun discovery with the people who govern agents at customer firms, and change the plan when the evidence says so\n\nWhat You Bring:\nExperience as a PM on platform or developer-facing products that other people build on, from a product or a technical PM background\n\nExperience shipping LLM or agent features in production. You understand context and retrieval, tool calling, evals, human review in the loop and non-determinism, and why \"it worked in the demo\" isn't evidence\n\nComfort with data models and system design: definition schemas, versions, immutable records, permissions, and how objects relate to each other\n\nExperience with products that have a lifecycle customers depend on: versioning, permissions, release and deprecation\n\nEnough technical depth to make architecture trade-offs with engineering leads and challenge designs credibly\n\nDiscovery discipline: you separate what customers said from what you hoped they said\n\nHands-on use of AI tools in your own work, including prototyping\n\nClear, concise writing\n\nWhat sets you apart\nKnowledge of audit or accounting, from practice or from building products for auditors, finance teams or other expert users in regulated fields\n\nFamiliarity with how firms validate and govern tools before relying on them, and with quality management standards such as ISQM 1\n\nExperience with knowledge management or enterprise search: ingestion, retrieval, document-level permissions, keeping content fresh\n\nExperience with low-code or configuration products, workflow designers, rule engines or DSLs\n\nAgent evaluation in practice: datasets, offline and online experiments, failure classification, measuring the effect of context on quality\n\nRunning design-partner programmes with large enterprise customers\n\nWhat We Offer:\nBe part of one of the fastest-growing, profitable unicorn scale-ups with a global impact\n\nEquity (Stock Appreciation Rights) to share the company's success and growth\n\nFlexible paid time off\n\nComprehensive medical and dental coverage\n\n401K match\n\nPaid parental leave\n\nCompany-sponsored lunch\n\nHybrid mode of work (at least 3 days onsite in our New York City office)\n\nAccess to continuous learning and development initiatives to grow your skills\n\nEngage with a vibrant international team spread across five global offices\n\nAccess to the mental health and wellness platform\n\nMultiple social activities for team building, including company-wide events like DataSnipper GO, where global teams come together\n\nRecruitment Process\nRecruitment Screen (30 minutes, online)\n\nHiring Manager Interview (30 minutes, online)\n\nPanel Presentation (60 minutes, online)\n\nLeadership interview (30 minutes, on-site)\n\nFinal Interview (30 minutes, online)\n\nAt DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience.\nOur hiring decisions are merit-based and grounded in the skills, experience, potential, and capabilities relevant to the role.\nWe welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you.\nWhat matters to us is what you can bring to the role, the team, and DataSnipper.","description_format":"text","description_chars":8388,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Continuous learning","Equity","Hybrid work","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Document AI","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-11-06T22:14:53Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":56,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-11-10T06:52:35Z"},"pay":{"stated_usd_annual":220000,"is_top_pay":true},"html_url":"https://alion.io/job/datasnipper-senior-product-manager-agent-builder-2","json_url":"https://alion.io/job/datasnipper-senior-product-manager-agent-builder-2.json","meta":{"generated_at":"2026-11-10T12:43:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29589,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4724},"rest":"https://alion.io/mcp/rest/get_company?id=4724"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatasnipper-senior-product-manager-agent-builder-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatasnipper-senior-product-manager-agent-builder-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatasnipper-senior-product-manager-agent-builder-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/datasnipper-senior-product-manager-agent-builder-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatasnipper-senior-product-manager-agent-builder-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3893339}},{"tool":"search_jobs","arguments":{"company":"datasnipper.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3893339},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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