{"id":181092,"url":"https://alion.io/job/workato-staff-product-manager-evals","title":"Director of Product Data and Analytics","company":{"id":58898,"name":"Workato","domain":"workato.com","url":"https://alion.io/company/workato","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":17,"ghost_share":0,"stale_share":0.588,"repost_share":0.118,"time_to_fill_p50_days":61,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":203000,"max_usd":360000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":235},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-02-02T11:41:02Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T04:29:29Z","board_verified":true,"closed_at":null,"days_open":280,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":279},"description":"About Workato\nWorkato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.\nWhy join us?\nUltimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking forteam players who want to actively build our company. \nBut, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. \nIf this sounds right up your alley, please submit an application. We look forward to getting to know you!\nAlso, feel free to check out why:\nBusiness Insider named us an “enterprise startup to bet your career on”\nForbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world\nDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America\nQuartz ranked us the #1 best company for remote workers\nResponsibilities\nYou’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research.\nWhat you’ll own\nData strategy and delivery\nSet the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates.\nDefine who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions.\nTurn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act.\nPeople and organization\nOwn hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows.\nSet clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence.\nAnalytics engineering and the data platform\nLead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads.\nPartner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform.\nEstablish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision.\nProduct analytics and experimentation\nBring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation.\nDefine measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release.\nMeasure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision.\nLead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small.\nMatch the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again.\nMetrics, self-service, and AI-assisted analytics\nPublish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently.\nGive analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request.\nDevelop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation.\nData culture and industry research\nEstablish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities.\nLead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use.\nRequirements\nWhat you bring\n10+ years in analytics, data science, or a related quantitative field, including experience leading senior practitioners, developing managers, and scaling teams.\nData engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt.\nData cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable.\nB2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward.\nCross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives.\nPractical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus.\nWhat success looks like\nPriority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change.\nProduct and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries.\nEngineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs.\nProduct leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving.\n(REQ ID: 2538)","description_format":"text","description_chars":8410,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Workflow & Process Automation (RPA, BPM)","AI Agents","Integration & API Management"],"lifecycle":[{"event":"open","at":"2026-08-31T19:04:21Z"},{"event":"close","at":"2026-10-27T12:08:22Z"},{"event":"reopen","at":"2026-11-04T22:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 27 · green card filings: 2","filings_12m":27,"filings_prev_12m":14,"green_card_filings_12m":2,"median_offered_wage_usd":150948,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.359,"p_room":0.28,"age_days":279,"expected_fill_days":61,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/workato-staff-product-manager-evals","json_url":"https://alion.io/job/workato-staff-product-manager-evals.json","meta":{"generated_at":"2026-11-10T04:37:49Z","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":10761,"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":58898},"rest":"https://alion.io/mcp/rest/get_company?id=58898"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fworkato-staff-product-manager-evals"},{"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%2Fworkato-staff-product-manager-evals"},{"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%2Fworkato-staff-product-manager-evals"},{"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/workato-staff-product-manager-evals\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fworkato-staff-product-manager-evals"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":181092}},{"tool":"search_jobs","arguments":{"company":"workato.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":181092},"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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