{"id":1367488,"url":"https://alion.io/job/ovative-group-product-owner-ai","title":"Product Owner, AI","company":{"id":1796135,"name":"Ovative Group","domain":"ovative.com","url":"https://alion.io/company/ovative","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Minneapolis, United States","Chicago, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":132000,"currency":"USD","period":"year","gross":null,"usd_annual":132000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Function Calling","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MVP","optional":false},{"name":"Scrum","optional":false},{"name":"SOC 2","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-31T19:18:51Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"About Ovative Group:\nOvative Group is an independent, full-funnel media, measurement, and creative firm transforming how brands grow. We partner with leading names like American Eagle, Best Buy, Domino’s, The Home Depot, Polaris, and UnitedHealth Group to build smarter media and measurement programs that drive real, profitable growth.\nWe don’t just track performance-we redefine it. Powered by our proprietary intelligence platform, EMRge, and our holistic metric Enterprise Marketing Return (EMR), we help brands connect revenue, customer, and brand outcomes into one clear picture of success. Our approach to full-funnel strategy, buying, and measurement delivers results that matter-and it’s getting noticed. Our work has been recognized by Digiday, Google, USA Today, Inc. 5000, and Search Engine Land.\nAbout the Role:\nOvative is building on the foundation of EMRge, our marketing intelligence platform, and growing a portfolio of client-facing products in production. EMRge is supported by a mature data platform and product and engineering capabilities that are now being extended to serve a broader AI operating model across the company. This includes governed operational data, a managed integration and tooling layer, and a repeatable path from a real business problem to a production AI capability with a clear owner, security review, and quality bar. With an AI Center of Excellence active in every function within the organization and more than 600 people across media, measurement, analytics, and strategy being asked to work differently, this role will help build that next layer.\nYou will own the backlog for this work. You will find the highest value problem underneath each request, turn it into work engineers can execute, and sequence it so each release builds on the last. You will set the roadmap, decide what ships first, and bring stakeholders along with the reasoning. You will report directly into the AI Lead.\nThis is a deeply embedded execution role. You will need to understand the mechanics of agentic AI systems well enough to write meaningful acceptance criteria, recognize when a data model, integration, or tooling decision has product implications, and communicate tradeoffs clearly to both engineers and business stakeholders. You will not build the agents, but you must understand what they do, where they break, and why it matters.\nWorking closely with AI Engineers, Data Engineers, IT and Security, and the functional leaders whose teams will use what we ship, you will guide the delivery of foundational data, integration, and tooling capabilities. You will ensure that solutions are grounded in real user needs, technically feasible, and scalable across teams and client accounts.\nResponsibilities of a Product Owner, AI:\nProduct Ownership\nTranslate program level objectives into well formed user stories with clear acceptance criteria that reflect business value, technical constraints, and governance requirements, including data model decisions, MCP and tool exposure, agent behavior, and evaluation criteria. \nWork closely with AI Engineers and Data Engineers during iterations to clarify business and functional requirements and make timely decisions on scope, data inputs, tool boundaries, and acceptance conditions. \nOwn delivery level tradeoff decisions across scope, sequencing, and technical constraints, challenging priorities rather than executing against them, and making the call without escalating when not required. \nAccept or reject completed stories against acceptance criteria and the team Definition of Done, including agent evaluation results and human in the loop requirements, not just functional completeness. \nTreat governance as part of the product. Ensure every agent and tool shipped has a named owner, an automation tier assignment, an access and identity model, and a documented review path, working with IT and Security rather than around them. \nTranslate technical work into business impact by articulating why a data model, tooling, or agent decision matters in terms of time recovered, quality, risk reduction, or client outcomes. \nRun the team ceremonies and own the team cadence. You will act as the Scrum Lead on this team and will facilitate standups, refinement, and retros, remove blockers, and improve how the team works, partnering with engineering leads rather than handing that off. \nBacklog Management & Delivery\nOwn and prioritize the AI platform backlog across canonical operational data objects, the MCP and tooling layer, unstructured data and retrieval, agent builds, and enablement, sequencing work to maximize impact and real infrastructure dependencies. \nDefine and run the intake path for AI build requests coming from client teams, functional leads, and CoE captains, including the criteria that route a request to a self serve pattern, a rapid client specific build, or the platform roadmap. \nDrive story readiness upstream so work arrives at refinement with clear problem framing, acceptance criteria, data dependencies, and security questions already identified, rather than surfacing at QA. \nFacilitate refinement, sprint planning, and demos partnering with engineering leads to break work into thin vertical slices that deliver a working capability end to end rather than a layer at a time. \nChampion MVP thinking and iterative delivery using a mirror, validate, invert pattern for new operational data objects so adoption is proven before a system of record is moved. \nDefine how agent quality is measured and partner with engineering on evaluation sets, regression checks, and validation so agent behavior is tested against real user tasks before it reaches production. \nMaintain familiarity with the end to end path from problem definition to data availability, tool exposure, agent build, evaluation, security review, deployment, and adoption, sufficient to sequence work and surface cross team dependencies early. \nStakeholder Management & Community Building\nServe as the primary point of contact for the AI engineering team with data products, platform, IT and Security, functional leaders, and client teams, holding your ground and communicating decisions clearly when leadership is not in the room. \nManage expectations against capacity. You will say no clearly, explain the reasoning, and point requesters to the right path. \nCommunicate progress and outcomes in clear, tailored updates to executive sponsors, steering leaders, and functional leadership. \nMake what the team ships usable. Own the product facing documentation, build patterns, and reusable assets in Confluence, and partner with AI enablement and the AI Center of Excellence captains who carry adoption into their own teams. \nUser Research & Discovery\nLead upstream discovery work with the internal teams who do the work, media, measurement, creative, and operations, to understand unmet needs before work is scoped, so the backlog reflects real user problems rather than tool requests. \nEstablish user shadowing and feedback loops as a standing practice, building direct line of sight into how work actually gets done today, where the manual effort sits, and where the operational source of truth lives. \nInsist on demand side evidence. Every build on the roadmap should trace to an observed user problem with a named owner and a measurable outcome, not to an interesting capability. \nOwn adoption as a success measure. For an internal platform, shipped is not the finish line. Track usage, abandonment, and workflow change, and feed that back into prioritization. \nRequirements:\n5+ years of experience in product management, product ownership, business analysis, or a related role, with at least 2 years focused on technical, data, or platform products. \nProven success owning a technical product backlog and leading delivery in an agile environment, including sprint planning, refinement, cross team dependency management, and release sequencing. \nDemonstrated ability to make and communicate independent prioritization decisions including tradeoffs under pressure and capacity constraints, without requiring escalation for routine calls. \nExperience working closely with engineering and data teams on complex technical products comfortable discussing APIs, data pipelines, schemas, and integration boundaries without requiring deep implementation expertise. \nWorking fluency with modern AI application patterns including LLMs, retrieval, tool use and function calling, agent design, and the practical limits of each, sufficient to evaluate feasibility and write acceptance criteria. \nComfort operating in ambiguity and a bias toward creating structure, documentation, and decision anchors where none exists. \nStrong analytical, strategic thinking, and problem solving skills including cost benefit analysis, prioritization frameworks, and scope negotiation. \nAbility to translate technical work into clear business impact and articulate the why it matters for engineering driven decisions in terms stakeholders can act on. \nExcellent communication and stakeholder engagement abilities including executive level communication and the credibility to influence senior leaders across functions. \nExperience with Atlassian tools including Confluence and Jira, and strong documentation instincts. \nPreferred:\nExperience building internal platforms or enablement products where colleagues are the users and adoption, not revenue, is the primary success measure.\nFamiliarity with MCP, agent frameworks, or orchestration tooling at a conceptual and integration level.\nExposure to data platform and governance concepts such as Databricks, Unity Catalog, BigQuery, data contracts, or catalog and lineage practices.\nUnderstanding of AI governance and security requirements including access control, service and non human identity, data handling, human in the loop design, and audit expectations in a SOC 2 environment.\nBackground in marketing, media, or analytics services with enough context to recognize how agency work actually gets done.\nExperience standing up intake, triage, or request management processes for a team serving many internal stakeholders. \nExperience with evaluation and quality practices for AI systems including building eval sets, measuring regression, and defining acceptable performance for non deterministic outputs. \nPay Transparency:\nAt Ovative, we offer a transparent view into three core components of the total compensation package: Base Salary, Annual Bonus, and Benefits.\nFor our Manager positions, including the position of Product Owner, AI, our compensation range is from $90,000 to $132,000 on an annualized basis, which is inclusive of an annual bonus opportunity of 20% of base salary\nWorking at Ovative Group:\nWe provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.\nAt Ovative, culture isn’t a buzzword-it’s the reason we’ve been named a Top Workplace for ten years running. We lead with trust, transparency, and a commitment to doing the hard work others avoid.\nWe offer flexibility. You'll work from our Minneapolis, Chicago, or New York office on set days each week, and an option to work remote on others.\nOur open floor plan reflects our open communication and flat structure-where interns collaborate with VPs, analysts partner with senior leaders, and our CEO engages with every team member. Together, we create an environment where smart, driven people can do their best work and support one another in the process.\nWe’re equally committed to inclusion and belonging. Ovative fosters a workplace where everyone can participate and thrive-regardless of ethnicity, gender, sexual orientation, gender identity, or expression or other protected class status. Our benefits and policies reflect that commitment, from inclusive medical leave coverage for same-sex spouses to equitable care and support for all families.\nBenefits:\nWe strive to hire and retain the best talent by offering fair, competitive compensation, a meanin...","description_format":"text","description_chars":15036,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Company events","Health insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Marketing Analytics & Attribution"],"lifecycle":[{"event":"open","at":"2026-09-28T02:56:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"green card filings: 1","filings_12m":0,"filings_prev_12m":4,"green_card_filings_12m":1,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":0}],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.775,"p_room":0.55,"age_days":37,"expected_fill_days":30,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":132000,"is_top_pay":false},"html_url":"https://alion.io/job/ovative-group-product-owner-ai","json_url":"https://alion.io/job/ovative-group-product-owner-ai.json","meta":{"generated_at":"2026-11-01T02:58:45Z","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":4511,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":1796135},"rest":"https://alion.io/mcp/rest/get_company?id=1796135"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fovative-group-product-owner-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fovative-group-product-owner-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fovative-group-product-owner-ai"},{"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/ovative-group-product-owner-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fovative-group-product-owner-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1367488}},{"tool":"search_jobs","arguments":{"company":"ovative.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1367488},"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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