Product Owner, AI
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It didn't list About the company as a heading; but we could include "About Ovative Group" maybe as a section? Not in list but could be considered "About the role"? The instruction says use those examples; but we can also include other headings if they have content? It says "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It implies those are typical; but we can still include other headings if needed. However they say "Prefer a few substantive sections over many thin ones." So maybe we combine company description into About the role? But they said "Do NOT repeat the job title as a heading (the page already shows it)". The job title is "Product Owner, AI". The "About Ovative Group" is company overview; could be included as a section like "About the company". Not in list but maybe okay. However they gave examples; but not strict. Safer to include sections: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. We can incorporate company description into About the role or maybe a brief intro paragraph before sections. The instruction: "Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should follow that list. We'll include About the role (which can contain both company description and role description). Then Responsibilities, Requirements, Benefits, Pay, Schedule.
We need to preserve all substantive information, not invent or summarize away detail. Remove boilerplate, duplicated lines, application instructions, cookie/navigation/legal/EEO etc. The posting includes a lot of text; we need to extract substantive content for each section.
Let's parse:
About Ovative Group: description of firm, clients, platform EMRge, metric EMR, recognition.
About The Role: description of building on EMRge, AI product ownership, backlog, etc.
Responsibilities: bullet list under "Responsibilities Of a Product Owner, AI Product Ownership" then subheadings: Translate program level objectives..., Work closely..., Own delivery..., Accept or reject..., Treat governance..., Translate technical work..., Run the team ceremonies..., Backlog Management & Delivery..., Stakeholder Management & Community Building..., User Research & Discovery...
We need to convert those into - items. Should we keep the subheadings as separate list items? Probably each bullet is a responsibility. We'll capture each sentence starting with a verb as a list item.
Requirements: list after "Requirements". It includes bullet-like sentences: "5+ years of experience..." etc. We'll turn each into list item.
Preferred Experience: also list but maybe we can include under Requirements or separate? The instruction: Use
- for any list of duties/requirements/benefits. So we can include preferred experience as part of Requirements list or separate "Preferred" but not required. We'll include as part of Requirements list (maybe separate section "Preferred Qualifications"? Not in list). Safer to include under Requirements as additional items.
Benefits: The posting includes "We provide strong, competitive, holistic benefits..." and later "Benefits We strive to hire...". We'll combine into a paragraph or list? It's prose; we can put in
. Could also list specific benefits but not detailed. We'll just put the prose.
Pay: includes salary range and bonus. We'll put in
.
Schedule: includes flexibility description. We'll put in
.
We must not include sections with filler like "commensurate with experience". Not present.
We must not repeat job title as heading. We'll not.
We must not include Job ID/requisition numbers.
We must remove boilerplate: like "At Ovative, we offer a transparent view..." that's Pay Transparency; we keep that as Pay section. "Working At Ovative Group" we can incorporate into Benefits or Schedule? Actually it's about culture and flexibility; we already have Schedule for flexibility; we could incorporate culture into Benefits? But maybe better to have a "Culture" section? Not in list. Could incorporate into Benefits or About the role? The instruction says prefer few substantive sections. We could merge culture into Benefits or About the role. But we already have Benefits section; we could add culture description there. However the Benefits section currently is about benefits; we could add a paragraph about culture and flexibility there. But the instruction says "include a section ONLY when the posting has real, specific content for it". So we can have Benefits section with both benefits and culture/flexibility. Schedule section could be omitted if we put flexibility in Benefits. But they gave Schedule as example; we could still have Schedule section with the remote/office days. Let's keep Schedule separate for clarity.
Thus sections: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule.
Now craft HTML.
We need to output only HTML fragment, no /, no markdown fences.
We'll start with
About the role
then containing combined company description and role description? Might be too long; but okay.
Better: About the role section can contain two paragraphs: first about Ovative Group, second about the role. That's fine.
Then
Responsibilities
then - ... each responsibility.
Then
Requirements
then - ... each requirement.
Then
Benefits
then ... benefits paragraph.
Then
Pay
then ... pay paragraph.
Then
Schedule
then ... schedule paragraph.
Now extract content.
About Ovative Group paragraph: "Ovative 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. We 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."
About The Role paragraph: "Ovative 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. You 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. This 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. Working 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."
We can combine these two paragraphs into About the role section.
Now Responsibilities: list items.
From the responsibilities section:
- Translate 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.
- Work 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.
- Own 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.
- Accept 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.
- Treat 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.
- Translate 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.
- Run 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.
- Backlog Management & Delivery: Own 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.
- Define 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.
- Drive 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.
- Facilitate 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.
- Champion 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.
- Define how agent quality is measured and partner with engineering on evaluation sets, regression checks, and validation
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should follow that list. We'll include About the role (which can contain both company description and role description). Then Responsibilities, Requirements, Benefits, Pay, Schedule.
We need to preserve all substantive information, not invent or summarize away detail. Remove boilerplate, duplicated lines, application instructions, cookie/navigation/legal/EEO etc. The posting includes a lot of text; we need to extract substantive content for each section.
Let's parse:
About Ovative Group: description of firm, clients, platform EMRge, metric EMR, recognition.
About The Role: description of building on EMRge, AI product ownership, backlog, etc.
Responsibilities: bullet list under "Responsibilities Of a Product Owner, AI Product Ownership" then subheadings: Translate program level objectives..., Work closely..., Own delivery..., Accept or reject..., Treat governance..., Translate technical work..., Run the team ceremonies..., Backlog Management & Delivery..., Stakeholder Management & Community Building..., User Research & Discovery...
We need to convert those into - items. Should we keep the subheadings as separate list items? Probably each bullet is a responsibility. We'll capture each sentence starting with a verb as a list item.
Requirements: list after "Requirements". It includes bullet-like sentences: "5+ years of experience..." etc. We'll turn each into list item.
Preferred Experience: also list but maybe we can include under Requirements or separate? The instruction: Use
- for any list of duties/requirements/benefits. So we can include preferred experience as part of Requirements list or separate "Preferred" but not required. We'll include as part of Requirements list (maybe separate section "Preferred Qualifications"? Not in list). Safer to include under Requirements as additional items.
Benefits: The posting includes "We provide strong, competitive, holistic benefits..." and later "Benefits We strive to hire...". We'll combine into a paragraph or list? It's prose; we can put in
. Could also list specific benefits but not detailed. We'll just put the prose.
Pay: includes salary range and bonus. We'll put in
.
Schedule: includes flexibility description. We'll put in
.
We must not include sections with filler like "commensurate with experience". Not present.
We must not repeat job title as heading. We'll not.
We must not include Job ID/requisition numbers.
We must remove boilerplate: like "At Ovative, we offer a transparent view..." that's Pay Transparency; we keep that as Pay section. "Working At Ovative Group" we can incorporate into Benefits or Schedule? Actually it's about culture and flexibility; we already have Schedule for flexibility; we could incorporate culture into Benefits? But maybe better to have a "Culture" section? Not in list. Could incorporate into Benefits or About the role? The instruction says prefer few substantive sections. We could merge culture into Benefits or About the role. But we already have Benefits section; we could add culture description there. However the Benefits section currently is about benefits; we could add a paragraph about culture and flexibility there. But the instruction says "include a section ONLY when the posting has real, specific content for it". So we can have Benefits section with both benefits and culture/flexibility. Schedule section could be omitted if we put flexibility in Benefits. But they gave Schedule as example; we could still have Schedule section with the remote/office days. Let's keep Schedule separate for clarity.
Thus sections: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule.
Now craft HTML.
We need to output only HTML fragment, no /, no markdown fences.
We'll start with
About the role
then containing combined company description and role description? Might be too long; but okay.
Better: About the role section can contain two paragraphs: first about Ovative Group, second about the role. That's fine.
Then
Responsibilities
then - ... each responsibility.
Then
Requirements
then - ... each requirement.
Then
Benefits
then ... benefits paragraph.
Then
Pay
then ... pay paragraph.
Then
Schedule
then ... schedule paragraph.
Now extract content.
About Ovative Group paragraph: "Ovative 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. We 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."
About The Role paragraph: "Ovative 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. You 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. This 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. Working 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."
We can combine these two paragraphs into About the role section.
Now Responsibilities: list items.
From the responsibilities section:
- Translate 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.
- Work 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.
- Own 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.
- Accept 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.
- Treat 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.
- Translate 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.
- Run 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.
- Backlog Management & Delivery: Own 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.
- Define 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.
- Drive 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.
- Facilitate 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.
- Champion 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.
- Define how agent quality is measured and partner with engineering on evaluation sets, regression checks, and validation
- for any list of duties/requirements/benefits. So we can include preferred experience as part of Requirements list or separate "Preferred" but not required. We'll include as part of Requirements list (maybe separate section "Preferred Qualifications"? Not in list). Safer to include under Requirements as additional items.
Benefits: The posting includes "We provide strong, competitive, holistic benefits..." and later "Benefits We strive to hire...". We'll combine into a paragraph or list? It's prose; we can put in
. Could also list specific benefits but not detailed. We'll just put the prose. Pay: includes salary range and bonus. We'll put in
. Schedule: includes flexibility description. We'll put in
. We must not include sections with filler like "commensurate with experience". Not present. We must not repeat job title as heading. We'll not. We must not include Job ID/requisition numbers. We must remove boilerplate: like "At Ovative, we offer a transparent view..." that's Pay Transparency; we keep that as Pay section. "Working At Ovative Group" we can incorporate into Benefits or Schedule? Actually it's about culture and flexibility; we already have Schedule for flexibility; we could incorporate culture into Benefits? But maybe better to have a "Culture" section? Not in list. Could incorporate into Benefits or About the role? The instruction says prefer few substantive sections. We could merge culture into Benefits or About the role. But we already have Benefits section; we could add culture description there. However the Benefits section currently is about benefits; we could add a paragraph about culture and flexibility there. But the instruction says "include a section ONLY when the posting has real, specific content for it". So we can have Benefits section with both benefits and culture/flexibility. Schedule section could be omitted if we put flexibility in Benefits. But they gave Schedule as example; we could still have Schedule section with the remote/office days. Let's keep Schedule separate for clarity. Thus sections: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. Now craft HTML. We need to output only HTML fragment, no /, no markdown fences. We'll start with
About the role
thencontaining combined company description and role description? Might be too long; but okay. Better: About the role section can contain two paragraphs: first about Ovative Group, second about the role. That's fine. Then
Responsibilities
then- ... each responsibility.
Then
Requirements
then- ... each requirement.
Then
Benefits
then... benefits paragraph. Then
Pay
then... pay paragraph. Then
Schedule
then... schedule paragraph. Now extract content. About Ovative Group paragraph: "Ovative 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. We 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." About The Role paragraph: "Ovative 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. You 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. This 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. Working 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." We can combine these two paragraphs into About the role section. Now Responsibilities: list items. From the responsibilities section: - Translate 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. - Work 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. - Own 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. - Accept 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. - Treat 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. - Translate 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. - Run 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. - Backlog Management & Delivery: Own 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. - Define 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. - Drive 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. - Facilitate 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. - Champion 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. - Define how agent quality is measured and partner with engineering on evaluation sets, regression checks, and validation
- ... each requirement.
Then
- ... each responsibility.
Then