data product manager

Takamol Holding

<div>
 
 We are looking for a
 
 Product Manager
 
 to lead the development and delivery of data monetization platforms and products. This role focuses on translating business strategies into scalable digital products, working closely with engineering, commercial, and regulatory stakeholders in a highly regulated environment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Execute and manage the delivery of monetization products and platforms from requirements to launch.
 </li>
 <li>
 Support defining and maintaining the product roadmap by:
 </li>
 </ul>
 
 -Breaking down high-level strategy into detailed requirements and deliverables
 
 
 -Prioritizing features based on business needs and client demand
 
 <ul>
 <li>
 Work closely with engineering and architecture teams to:
 </li>
 </ul>
 
 -Define detailed product requirements, user stories, and acceptance criteria
 
 
 -Follow up on development progress and ensure timely delivery
 
 
 -Support testing (UAT) and ensure production readiness
 
 <ul>
 <li>
 Work and manage product lifecycle management activities including:
 </li>
 </ul>
 
 -Feature development and enhancements
 
 
 -Product releases and updates
 
 
 -Issue tracking and resolution
 
 
 -Post-launch support and optimization
 
 <ul>
 <li>
 Collaborate with the Data Monetization commercial team to:
 </li>
 </ul>
 
 -Translate client requirements into product features
 
 
 -Assist in go-to-market readiness and client onboarding
 
 <ul>
 <li>
 Manage and balance internal and external stakeholder requirements, including regulators, government entities, partners, and enterprise clients.
 </li>
 <li>
 Monitor product performance by tracking:
 </li>
 </ul>
 
 -Transaction volumes and usage
 
 
 -Client adoption and engagement
 
 
 -Revenue contribution
 
 
 -Identify gaps and propose improvements
 
 <ul>
 <li>
 Support client and partner onboarding by:
 </li>
 </ul>
 
 -Following up on technical readiness
 
 
 -Ensuring smooth go-live and activation
 
 <ul>
 <li>
 Ensure products comply with PDPL, data governance policies, cybersecurity requirements, and sector regulations (e.g., banking, insurance, telecom ..etc).
 </li>
 <li>
 Solid understanding of: Data governance and privacy (PDPL) Monetization models (APIs, subscriptions, bundled offerings) and Enterprise and government operating models
 </li>
 <li>
 Ability to work in highly regulated environments and translate regulatory requirements into product features.
 </li>
 <li>
 Strong stakeholder management skills across technical, commercial, legal, and regulatory teams.
 </li>
 <li>
 work in the discovery, design, and development of new products and services based on market needs, customer pain points, and strategic priorities.
 </li>
 <li>
 Conduct market research, competitor analysis, and customer insight gathering to identify new product opportunities and emerging industry trends.
 </li>
 <li>
 Build business cases and feasibility assessments for new products, services, and initiatives.
 </li>
 <li>
 Define product value propositions, target segments, and success metrics.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 6+ years of experience
 
 in product management, platform development, or data-driven solutions
 </li>
 <li>
 Bachelor&rsquo;s degree in MIS, IT, Software Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Certification in Product Management (e.g., CPM) or Business Analysis
 </li>
 <li>
 Experience working on
 
 large-scale platforms or API ecosystems
 
 </li>
 <li>
 Background in
 
 government, fintech, or enterprise environments
 
 </li>
 <li>
 Proven track record of launching and scaling products used by enterprise or government clients
 </li>
 </ul>
 
 Strong understanding of:
 
 <ul>
 <li>
 Data monetization models (APIs, subscriptions, bundled offerings)
 </li>
 <li>
 Data governance, privacy, and PDPL
 </li>
 <li>
 Working within regulated environments
 </li>
 </ul>
 
 
</div>

Data Monetization Product Manager

Enzo Tech Group

Mid Level Product Manager &ndash; Data / Innovation (Healthcare)We&rsquo;re partnered with a leading US healthcare organisation currently undergoing a major data platform transformation. As part of this, they&rsquo;re building out a dedicated innovation hub and are looking for a Product Manager to help define and deliver new, data-driven products.This is a greenfield opportunity. The focus is on building new solutions, not maintaining legacy systems.What you&rsquo;ll be working on:<ul><li>Defining product requirements and partnering closely with engineering</li></ul><ul><li>Bridging business, data, and technical teams</li></ul><ul><li>Owning backlog prioritisation and driving delivery</li></ul><ul><li>Supporting the launch of new data-led products</li></ul>Environment:<ul><li>AWS data platform (S3, Redshift, Glue)</li></ul><ul><li>Agile, cross-functional teams</li></ul><ul><li>Data-rich products (claims, pharmacy, eligibility)</li></ul><ul><li>Fast-paced, low-bureaucracy setup</li></ul>What they&rsquo;re looking for:<ul><li>2+ Years Product Manager experience in fast-moving environments (startup / scale-up preferred)</li></ul><ul><li>Strong stakeholder management across technical and business teams</li></ul><ul><li>Experience working on data or platform-led products is a plus</li></ul><ul><li>Comfortable operating with autonomy and pace</li></ul>Process &amp; Package:<ul><li>6-month contract-to-hire</li></ul><ul><li>Fast 2-stage interview process</li></ul>If you&rsquo;re interested in building new products within a high-impact healthcare environment, applyJob Type: ContractPay: $80,000.00 - $105,000.00 per yearBenefits:<ul><li>401(k)</li><li>Health insurance</li></ul>Work Location: Remote

Associate Product Manager

The Home Depot

<div>Position Purpose:
The Product Manager (PM) position is responsible for delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality data products. Within their designated enterprise product line, PMs focus on delivering incremental value by driving product changes and working closely with a team of developers, data engineers, and business partners. They support in-depth business reviews, communicate and present across all levels of the organization, and support cross-functional product teams.
Key Responsibilities:<ul><li>
40% Strategy &amp; Planning:</li><li>
Gains a thorough understanding of customer and associate needs, both existing and potential, and uses that knowledge to help deliver enterprise products that provide Home Depot customers and associates with an unparalleled shopping experience</li><li>
Translates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partners</li><li>
Identifies goals, metrics, and analytics to determine product value; continually making recommendations and refinements to the product backlog based on learnings</li><li>
Conduct end user research to help identify user stories and help determine Minimum Viable Product (MVP)</li><li>
Partners with Finance to understand financial needs and assists in the creation of business plans for new opportunities</li><li>
Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class</li><li>
Evaluates research and market analysis on industry innovations and technology platforms to recommend the best possible solution</li><li>
30% Delivery &amp; Execution:</li><li>
Ensure product is aligned with company, stakeholder and end-user priorities to drive sales, improve efficiency, and improve customer satisfaction</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Formulates, tests and refines assumptions and hypotheses through user research and testing</li><li>
Creates, prioritizes and accepts user stories; incorporate them into release planning</li><li>
Makes product decisions that drive value on a daily basis</li><li>
Identifies pros, cons, issues, obstacles, dependencies and value associated with features and enhancements</li><li>
Participates in standups, iteration planning sessions, product demos and retrospectives</li><li>
Condenses complex technical concepts into non-technical language for stakeholders</li><li>
30% People:</li><li>
Fosters collaboration with team members (Engineering, User Experience Designers, etc.) to drive value and collectively identify and resolve impediments</li><li>
Acts as a proponent of modern software development practices</li><li>
Advocates for the end user and stakeholder by empathizing with and understanding user needs and becoming the domain expert</li><li>
Regularly works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps</li><li>
Manages cross functional team and stakeholder expectations to execute on product strategy; provides education to requestors to determine prioritization based on tangible benefits and/or user experience</li><li>
Exhibit active listening, facilitate sessions, and clearly communicate at all levels (Executive Leadership Team, store associates, etc.) and in all formats the product's long term strategy which is used to prioritize short-term action</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to the Product Management Manager or Sr. Manager.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
1-3 years of relevant work experience</li><li>
Experience working as a Product Manager in a modern software development based enterprise environment</li><li>
Experience owning data or analytics products from intake through adoption and measurement</li><li>
Experience designing and evaluating experiments, pilots, or A/B tests</li><li>
Experience with structured user research and feedback synthesis</li><li>
Familiarity with prioritization frameworks and data‑driven roadmap planning</li><li>
Experience managing AI and machine learning&ndash;enabled products</li><li>
Demonstrated experience with modern software development product management practices and agile methodologies, specifically the extreme programming (XP) principles of paired programming, test driven development, and continuous deployment</li><li>
Experience working in a fast paced, fluid environment where priorities shift on a regular basis</li><li>
Experience communicating with and influencing functional and technical team members at all levels in the organization</li><li>
Experience working as part of a collaborative, cross-functional, modern software design and development team</li><li>
Experience creating, prioritizing and accepting user stories</li><li>
Experience conducting user research and testing to understand needs</li><li>
Experience identifying goals, metrics and analytics to measure product value</li><li>
Experience conducting competitive research and analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
1</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieves results, even under tough circumstances</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li><li>
Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li></ul></div>

PRODUCT MANAGER - SERVICES

Anotech

<div>
 
 
 Job Purpose:
 
 
 
 
 
 
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by customers. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 
 
 <ul>
 <li>
 8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
 </li>
 <li>
 Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
 </li>
 <li>
 Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
 </li>
 <li>
 Experience working with security, privacy, and data governance requirements in regulated environments.
 </li>
 <li>
 Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
 </li>
 <li>
 Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities:
 
 
 
 
 
 <ul>
 <li>
 Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
 </li>
 <li>
 Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
 </li>
 <li>
 Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
 </li>
 <li>
 Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
 </li>
 <li>
 Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
 </li>
 <li>
 Clear communication and narrative-building for executive and technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Tools:
 
 
 
 
 
 <ul>
 <li>
 Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)
 </li>
 <li>
 Analytics: PostHog, KPI dashboards (Power BI)
 </li>
 <li>
 API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)
 </li>
 <li>
 Collaboration: Miro, Figma, MS Teams
 </li>
 </ul>
 
 
</div>

Cognitive AI Product Manager

Early Warning Services

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
The Technical Product Manager is a key role on our Data &amp; AI team charged with developing the next generation of analytical technology for Early Warning Services. This role will focus on our data capabilities to improve both R&amp;D and productionalization of predictive models. 
The Technical Product Manager collaborates closely with Analytics, MLOps, Engineering team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical model, data, reporting and analytics requirements, working across technology teams to facilitate the development of internal-facing data platforms, products or capabilities. 
Essential Functions<ul><li>
Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.</li><li>
Scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.</li><li>
Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience.</li><li>
Gather requirements for the Data Technology team on data processing and storage to facilitate a variety of model and analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection.</li><li>
Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value.</li><li>
Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.</li><li>
Support the implementation, measurement, and activation of data-driven use cases.</li><li>
Support the integration of strong data governance, risk, and security controls.</li><li>
Support the company&rsquo;s commitment to risk management and protect the integrity and confidentiality of systems and data.</li><li>
Support the integration of MLOps workflows and data pipelines that enable model deployment and monitoring.</li><li>
Participate in defining RAG and LLM-based product capabilities.</li><li>
Ensure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation.</li><li>
Collaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on-prem technologies.</li></ul> 
Minimum Qualifications<ul><li>
Education and/or experience typically obtained through completion of a bachelor&rsquo;s degree in STEM or related field.</li><li>
5+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products.</li><li>
3+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users.</li><li>
Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences.</li><li>
Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira.</li><li>
Strong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization.</li><li>
Excellent communications skills, both oral and written.</li><li>
Hands-on experience writing, reviewing, and tuning SQL, Spark, and Python.</li><li>
Comfort with product analytics and data visualization tools (e.g., Tableau).</li><li>
Background and drug screen.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s degree in STEM or related field.</li><li>
Deep understanding of foundational data and analytics concepts.</li><li>
Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products.</li><li>
Strong understanding of data management requirements in a regulated industry.</li><li>
Experience in financial institutions, particularly payments, identity, and fraud analytics.</li><li>
Experience working with terabyte size datasets.</li><li>
Experience with change management and moving from on-prem to cloud.</li><li>
Hands-on experience with Python or R, as a data scientist.</li><li>
Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases.</li><li>
Experience with: AWS, Salesforce, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka, EKS.</li><li>
Deep understanding of best practices and unique data and analytics requirements.</li></ul>
Physical Requirements
Early Warning works together in a highly collaborative office environment. As such, working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire. 
The base pay scale for this position in: 
Phoenix, AZ in USD per year is: $106,000 - $130,000. 
San Francisco, CA in USD per year is: $128,000 - $156,000. 
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate&rsquo;s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Some of the Ways We Prioritize Your Health and Happiness<ul><li> 
Healthcare Coverage &ndash; Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.</div>

Technical Product Manager - Data

Intuit

<div><h2 class="jobSectionHeader">Overview</h2><div>
Intuit is a global financial technology platform that powers prosperity for the people and communities we serve. With 100M+ customers using TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe every business should have the opportunity to grow through smarter marketing, better data, and thoughtful automation.</div><div> 
We are looking for a Group Product Manager for the Marketing Data Platform product area for Mailchimp. This team owns the foundational platform for customer data, segmentation, and personalization capabilities that power Mailchimp&rsquo;s omnichannel, AI-driven marketing experiences across email, SMS, WhatsApp, and emerging channels.</div><div> 
In this role, you will define the strategy for how customer data is organized, activated, and scaled across Mailchimp. You&rsquo;ll lead a team of product managers responsible for the core platform capabilities that help millions of marketers understand their audiences, target them, and deliver personalized marketing capabilities from campaigns and journeys to reporting, predictive insights, and agentic AI experiences.</div><div></div><div> 
This is a high-impact, highly visible role at the heart of Mailchimp&rsquo;s marketing and AI strategy.</div> 
Responsibilities<div>
Product Vision &amp; Strategy</div><ul><li><div>
Define and communicate a clear, compelling vision for the customer, subscriber, and targeting capabilities within the Marketing Data Platform.</div></li><li><div>
Translate company and portfolio strategy into actionable roadmaps that support omnichannel marketing, personalization, and AI-powered / agentic experiences.</div></li><li><div>
Balance near-term product needs with longer-term platform investments that increase reusability, performance, and scalability for both human users and AI systems.</div></li></ul><div> 
Customer, Data, &amp; AI Insight</div><ul><li><div>
Develop deep empathy for small and mid-sized businesses and the marketers who use Mailchimp to grow.</div></li><li><div>
Partner with Research, Analytics, and Customer Success to understand how customers organize their data, build segments, and activate audiences today&mdash;and where AI can simplify, guide, and automate their work.</div></li><li><div>
Use customer insight, data usage patterns, and market trends in MarTech/CDP and AI to identify opportunities for smarter defaults, recommendations, and &ldquo;done-for-you&rdquo; experiences.</div></li></ul><div> 
Platform, Data, &amp; AI Enablement</div><ul><li><div>
Lead the evolution of targeting and contact management at Mailchimp into robust platform capabilities used by multiple product teams, channels, and AI services.</div></li><li><div>
Partner with engineering, data, and architecture leaders to define clear data models, APIs, and services that enable reliable reuse across the product and safe consumption by AI agents and assistants.</div></li><li><div>
Ensure audience and segmentation capabilities are designed with governance, consent, and privacy as first-class requirements, including for AI-driven features.</div></li></ul><div> 
Cross-Functional Leadership</div><ul><li><div>
Lead a team of product managers and collaborate closely with engineering, design, data science, CX, and go-to-market partners.</div></li><li><div>
Work with AI/ML and analytics teams to ensure your platform exposes the right signals, contracts, and performance characteristics for predictive and agentic use cases.</div></li><li><div>
Align stakeholders around priorities, trade-offs, and rollout plans for major initiatives, from new segmentation capabilities to cross-channel audience features and AI-powered workflows.</div></li><li><div>
Represent the team and product portfolio in planning forums and leadership discussions, providing clarity on strategy, progress, and risks.</div></li></ul><div> 
Execution &amp; Operational Excellence</div><ul><li><div>
Drive high-quality execution across multiple teams, ensuring clear goals, scoped milestones, and strong communication.</div></li><li><div>
Establish and manage portfolio-level OKRs/KPIs, focusing on customer impact, platform adoption, reliability, internal developer efficiency, and AI feature enablement.</div></li><li><div>
Guide teams through complex, multi-release programs (e.g., new data capabilities, model integrations, or cross-product experiences) with clarity and rigor.</div></li></ul><div> 
Team Development &amp; Product Craft</div><ul><li><div>
Hire, mentor, and develop PMs at varying levels, helping them grow in impact, autonomy, and product excellence.</div></li><li><div>
Set a high bar for product craft across discovery, prioritization, experimentation, and stakeholder management, including how teams think about AI opportunities and responsible AI use.</div></li><li><div>
Foster a culture of collaboration, learning, and customer-centric decision making within the teams.</div></li></ul> 
Qualifications<ul><li><div> 
8&ndash;10+ years of product management experience, including significant time working on platform, data, or infrastructure products in SaaS or MarTech environments.</div></li><li><div>
Proven experience leading data- or platform-centric product areas that support multiple product teams and/or external developers.</div></li><li><div>
Exposure to or experience with AI/ML-powered products (e.g., recommendations, predictive models, assistants, or agentic workflows), and a track record of partnering with AI/ML teams to bring these to market.</div></li><li><div>
Demonstrated success managing and developing product management talent, including senior ICs, and leading teams through complex, multi-quarter initiatives.</div></li><li><div>
Strong technical fluency: comfortable discussing data models, APIs, system architecture, and model integration patterns with engineering and data leaders, and translating technical concepts into clear product decisions.</div></li><li><div>
Background in customer data platforms, segmentation, marketing automation, or related domains is strongly preferred.</div></li><li><div>
Ability to shape multi-year strategy while driving disciplined execution and measurable results in the near term.</div></li><li><div>
Data-driven mindset: experience defining and using product and business metrics (e.g., adoption, engagement, performance, retention, AI feature usage) to guide prioritization and measure impact.</div></li><li><div>
Excellent communication and stakeholder management skills, with a track record of influencing senior leaders and aligning diverse teams around shared goals.</div></li><li><div>
Bachelor&rsquo;s degree in a technical, business, or related field (or equivalent practical experience); advanced degree a plus.</div></li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area, California: $237,500 - 321,500
New York City: New York: $215,000 - 291,500</div>

Group Product Manager, Marketing Data Platform (Mailchimp)

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Group Product Manager, Marketing Data Platform (Mailchimp)