Product-Manager, Technical-Product-Manager, Data-Product-Manager Jobs

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek.    

WHO WE ARE:   

Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies.    

Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance.   

We have a flock of more than 1,700 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location.   

If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”!   

To learn more about us, visit and follow us on our social channels for the latest information – LinkedIn and Twitter.  

TITLE: Senior Manager, Product Management – Data Orchestration

WHAT YOU’LL DO:

The Senior Manager, Product Management – Data Orchestration drives product planning and execution for capabilities that move, coordinate, transform, monitor, and deliver data across Duck Creek products, customer ecosystems, analytics platforms, AI services, and downstream operational workflows. This role translates complex data movement, integration, and platform needs into prioritized product capabilities that improve reliability, reuse, observability, and customer value. The role partners across Product, Engineering, Architecture, Data, AI, Security, Customer Success, Professional Services, and customer stakeholders to define scalable orchestration patterns and reduce one-off implementation effort. This role applies significant product judgment within an approved product strategy and is accountable for measurable outcomes related to adoption, reliability, onboarding efficiency, and data trust.

• Drive product planning and roadmap execution for Duck Creek’s data orchestration capabilities, including data ingestion, transformation, routing, synchronization, scheduling, publishing, monitoring, and delivery.
• Develop and maintain product requirements for how customers and internal product teams orchestrate data across policy, billing, claims, distribution, customer, document, analytics, AI, and third-party ecosystems.
• Translate complex data movement, platform architecture, and insurance workflow needs into clear product priorities, requirements, trade-off decisions, and measurable outcomes.
• Partner with Engineering and Architecture to define scalable orchestration patterns across batch, near-real-time, event-driven, streaming, API-based, and workflow-triggered data flows.
• Develop product requirements for reusable data pipelines, configurable data flows, source-to-target mappings, transformation templates, validation, dependency management, retries, replay, exception handling, reconciliation, and operational monitoring.
• Define requirements for data contracts, schema versioning, event payloads, API payloads, backward compatibility, lifecycle management, metadata, lineage, and consumer notification patterns.
• Recommend and prioritize orchestration capabilities that support insurance workflows, including policy-to-analytics synchronization, claims event publishing, billing and payment feeds, party synchronization, producer and distribution data flows, document metadata movement, regulatory reporting feeds, and AI-ready data delivery.
• Partner with AI, analytics, and semantic data product teams to support data consumption patterns for LLM grounding, retrieval-augmented generation, feature pipelines, operational dashboards, reporting marts, knowledge graphs, vector indexes, and intelligent workflow automation.
• Evaluate adoption, reliability, and business impact of data orchestration capabilities using measures such as pipeline success rates, data latency, time to onboard new data flows, reduction in custom implementation effort, reuse across product domains, and downstream data trust.
• Collaborate with Security, Architecture, and Data teams to ensure orchestration capabilities support appropriate governance, access, observability, operational controls, and data quality expectations.
• Engage customer-facing teams and customer stakeholders to understand implementation patterns, operational pain points, and opportunities to improve productized data orchestration capabilities.
• Develop product documentation, requirements, decision materials, and stakeholder communications that support alignment across product, technical, and customer-facing teams.
  
  
  

WHAT YOU’VE DONE: 

REQUIRED:

• Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Data Management, Engineering, Business, Insurance, Analytics, or a related discipline.
• 6+ years of experience in product management, technical product management, platform product management, data product management, enterprise software, SaaS, PaaS, or related roles.
• Experience leading complex product initiatives or capability areas that require alignment across product teams, engineering teams, architects, data teams, customer-facing teams, and business stakeholders.
• Experience working with data platforms, data pipelines, integration platforms, workflow orchestration, data movement, APIs, event-driven architecture, ETL/ELT, data contracts, metadata, lineage, observability, or enterprise integration patterns.
• Experience translating ambiguous business and technical problems into structured product priorities, requirements, and measurable outcomes.

PREFERRED

• Master’s degree or equivalent advanced experience in a relevant discipline.
• Experience in P&C insurance, general insurance, InsurTech, financial services, or another complex regulated industry.
• Experience with platform, data, analytics, AI enablement, or integration products in a multi-product SaaS environment.

Knowledge, Skills, Abilities & Behaviors:

• Knowledge of data orchestration concepts, including ingestion, transformation, routing, scheduling, synchronization, event publishing, monitoring, exception handling, lineage, and reconciliation.
• Knowledge of modern data movement patterns, including batch processing, APIs, webhooks, pub/sub, message queues, event streaming, change data capture, ETL/ELT, and workflow orchestration.
• Knowledge of cloud-native platforms, multi-tenant SaaS architecture, data platform services, integration frameworks, and enterprise security patterns.
• Knowledge of data contracts, schema management, versioning, metadata, lineage, service-level expectations, data quality rules, and consumer-driven data requirements.
• Knowledge of P&C insurance processes across one or more domains such as policy, billing, claims, distribution, underwriting, reporting, or customer servicing.
• Knowledge of AI, analytics, and automation consumption patterns, including data pipelines for grounding, retrieval, feature generation, operational reporting, decision support, and intelligent workflow execution.
• Skill in developing product requirements for reusable, configurable, observable, secure, and operationally reliable data flow capabilities.
• Skill in prioritizing product work across customer needs, technical dependencies, implementation effort, operational risk, and business value.
• Skill in defining success measures for product capabilities, including adoption, latency, reliability, reuse, onboarding efficiency, and data trust.
• Skill in analyzing complex platform and integration problems and converting them into actionable product decisions.
• Ability to influence cross-functional stakeholders and build alignment across technical and business groups.
• Ability to evaluate trade-offs in ambiguous, multi-stakeholder environments.
• Ability to prepare clear product documentation, requirements, roadmap materials, and decision records.
• Ability to use AI and LLM tools responsibly to support product discovery, research, documentation, analysis, and stakeholder communication.
  
  

Work Environment & Other Requirements:

• Travel: 10%
• Work Authorization: Must be legally authorized to work in the country of the job location

WHAT WE STAND FOR:   

Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.   

We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead. 

To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit: .  

Please let us know if you encounter accessibility barriers with our web content by sending an email to .  

Privacy Notice: By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with our Privacy Notice and applicable data protection laws.

Duck Creek Technologies does not accept, nor will we pay a fee for any hires resulting from unsolicited headhunter or agency resumes.   

Actual compensation for this role is determined based on a variety of factors, including job-related skills, experience, qualifications, internal equity, and geographic location, where permitted by law.

For reference, the expected salary range for this position is generally positioned as follows based on candidate location:

• 153,900 – 219,800: Candidates living in the Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC metropolitan areas
• 146,700 – 209,500: Candidates living in Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia metropolitan areas, or in Colorado, Connecticut, Maryland, Rhode Island, or Vermont
• 139,400 – 199,100: Candidates living in Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin
• 123,400 – 192,900: For all other U.S. locations

This position is also eligible for annual bonus compensation, subject to plan terms and individual eligibility.

Final compensation will be determined based on the factors outlined above and in accordance with applicable law.

Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information.

AI tools are used to assist—not replace—human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes.

Duck Creek Technologies offers a comprehensive benefits package, which includes:

• Flexible work environment
• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan with match (6% employer match up to $12,000 annually)
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
• Paid holidays, vacation, and volunteer time
• Employee Assistance Program (EAP)

Benefits eligibility and offerings may vary based on role and location.

The application window for this position will remain open until the role is filled or a sufficient number of qualified candidates have been identified.

Originally posted on Himalayas

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek.    

WHO WE ARE:   

Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies.    

Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance.   

We have a flock of more than 1,700 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location.   

If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”!   

To learn more about us, visit and follow us on our social channels for the latest information – LinkedIn and Twitter.  

TITLE: Senior Product Manager – Semantic Insurance Data

WHAT YOU’LL DO:

The Senior Product Manager – Semantic Insurance Data owns a major product pillar focused on AI-ready insurance data capabilities that make Duck Creek’s policy, claims, billing, coverage, customer, and risk data easier to understand, govern, and consume. This role defines product strategy, roadmap priorities, business meaning, semantic relationships, data quality expectations, and consumption patterns that support AI, analytics, automation, and product teams. The role applies deep property and casualty insurance domain knowledge, technical product management discipline, and data product expertise to translate complex insurance concepts into scalable product capabilities. This role exercises independent judgment to prioritize outcomes, align stakeholders, and guide delivery while partnering closely with Product, Engineering, Architecture, Data, AI, UX, Customer Success, Professional Services, and insurance subject-matter experts.

• Define and own the product strategy and roadmap for semantic insurance data capabilities, including canonical insurance concepts, data relationships, metadata, business definitions, and AI-ready consumption patterns.
• Own a major semantic data product pillar that enables AI, analytics, automation, and product teams to understand and use insurance data consistently across Duck Creek products and customer implementations.
• Translate complex insurance business concepts into clear, prioritized product capabilities that can be delivered by engineering teams and consumed by technical and non-technical users.
• Partner with Engineering and Architecture to define scalable approaches for semantic models, data contracts, metadata, APIs, knowledge graphs, data products, feature-ready datasets, and AI grounding layers.
• Work with AI and data science teams to identify data structures, lineage, context, quality standards, and retrieval patterns required to support LLMs, copilots, agentic workflows, analytics, and decision-support experiences.
• Collaborate with Product Managers across Policy, Billing, Claims, Distribution, Data, and Platform teams to align semantic data capabilities with broader product strategy, customer needs, and delivery priorities.
• Establish common definitions and relationships for high-value insurance concepts to reduce ambiguity across products, reporting, AI experiences, and customer integrations.
• Prioritize use cases where semantic insurance data can improve customer outcomes, including coverage interpretation, claims summarization, underwriting support, servicing automation, operational analytics, and cross-suite intelligence.
• Define product requirements, user stories, acceptance criteria, business scenarios, and success metrics for semantic data capabilities.
• Partner with data governance, quality, security, privacy, and compliance stakeholders to ensure semantic data products are designed for responsible and appropriate AI consumption.
• Drive adoption, quality, and business impact of semantic data products, including reuse across AI use cases, reduction in duplicate mapping work, improvement in AI answer quality, and increased consistency of insurance definitions.
• Evaluate product performance, stakeholder feedback, implementation patterns, and data quality indicators to refine roadmap priorities and improve semantic data product outcomes.

WHAT YOU’VE DONE: 

REQUIRED:

• Bachelor’s degree, or equivalent experience, in Computer Science, Information Systems, Data Management, Business, Insurance, Analytics, or a related discipline.
• 6+ years of experience in product management, technical product management, data product management, enterprise software, SaaS, insurance technology, data platforms, or related roles.
• Experience owning complex product domains that require alignment across business stakeholders, engineering teams, architects, data teams, and customer-facing organizations.
• Experience translating ambiguous business, regulatory, and technical problems into product strategy, roadmap priorities, requirements, and measurable outcomes.
• Experience working with data products, data platforms, semantic layers, canonical data models, APIs, metadata, data governance, analytics, AI/ML products, or enterprise integration patterns.
• Experience in property and casualty insurance, general insurance, InsurTech, financial services, or another complex regulated industry.

PREFERRED

• Master’s degree, or equivalent experience, in Computer Science, Information Systems, Data Management, Business, Insurance, Analytics, or a related discipline.
• Experience across multiple property and casualty insurance domains such as underwriting, policy, claims, billing, distribution, reinsurance, or customer servicing.
• Experience with insurance industry software platforms and software-as-a-service solutions.
• Experience with agile development methodologies and product or project management tools.
• Experience with data governance frameworks, semantic modeling practices, or enterprise information models.

Knowledge, Skills, Abilities & Behaviors:

• Advanced knowledge of technical product management practices, including roadmap definition, prioritization, requirements development, and success measurement.
• Deep understanding of property and casualty insurance business concepts, workflows, and data relationships.
• Knowledge of insurance concepts such as policy, claim, coverage, insured, exposure, premium, deductible, limit, endorsement, exclusion, loss event, payment, reserve, and party relationships.
• Understanding of semantic modeling, ontology concepts, metadata management, knowledge graphs, canonical models, data catalogs, data contracts, or enterprise information models.
• Knowledge of AI, LLMs, retrieval-augmented generation, agentic workflows, analytics, and automation consumption patterns.
• Understanding of SaaS platforms, data architectures, APIs, event-driven systems, cloud platforms, and modern software delivery practices.
• Ability to translate complex insurance, data, regulatory, and technical requirements into structured product capabilities.
• Ability to define business meaning, data relationships, consumption patterns, and quality expectations for reusable data products.
• Ability to assess data quality, lineage, completeness, consistency, and fitness for use in AI, analytics, and automation contexts.
• Ability to prioritize competing stakeholder needs and make product trade-offs in ambiguous environments.
• Ability to influence cross-functional teams and build alignment without direct reporting authority.
• Ability to communicate complex data and AI concepts to business, technical, and executive stakeholders.
• Ability to use AI and LLM tools to support product discovery, research, requirements development, documentation, and stakeholder communication.
• Ability to evaluate adoption, reuse, quality, and business impact measures for semantic data products.

Work Environment & Other Requirements:

• Travel: 10%
• Work Authorization: Must be legally authorized to work in the country of the job location

WHAT WE STAND FOR:   

Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.   

We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead. 

To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit: .  

Please let us know if you encounter accessibility barriers with our web content by sending an email to .  

Privacy Notice: By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with our Privacy Notice and applicable data protection laws.

Duck Creek Technologies does not accept, nor will we pay a fee for any hires resulting from unsolicited headhunter or agency resumes.   

Actual compensation for this role is determined based on a variety of factors, including job-related skills, experience, qualifications, internal equity, and geographic location, where permitted by law.

For reference, the expected salary range for this position is generally positioned as follows based on candidate location:

• 153,900 – 219,800: Candidates living in the Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC metropolitan areas
• 146,700 – 209,500: Candidates living in Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia metropolitan areas, or in Colorado, Connecticut, Maryland, Rhode Island, or Vermont
• 139,400 – 199,100: Candidates living in Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin
• 123,400 – 192,900: For all other U.S. locations

This position is also eligible for annual bonus compensation, subject to plan terms and individual eligibility.

Final compensation will be determined based on the factors outlined above and in accordance with applicable law.

Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information.

AI tools are used to assist—not replace—human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes.

Duck Creek Technologies offers a comprehensive benefits package, which includes:

• Flexible work environment
• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan with match (6% employer match up to $12,000 annually)
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
• Paid holidays, vacation, and volunteer time
• Employee Assistance Program (EAP)

Benefits eligibility and offerings may vary based on role and location.

The application window for this position will remain open until the role is filled or a sufficient number of qualified candidates have been identified.

Originally posted on Himalayas

About this Role

We’re seeking a Product Manager for Imogen Data, the part of our platform that captures and manages data from legacy systems and turns it into a format that can be used to verify the readiness of modernized workloads before going into production. The Imogen Data team owns an early version of tools that are already deployed and in use with our customers. We need a PM to help us evolve this part of our platform from MVP to enterprise-scale, making it robust enough to succeed in environments at some of the largest and most well-known companies around the world.
Product Managers at Mechanical Orchard are dedicated to one team and work closely with a team of software engineers, as well as cross-functionally with Sales, Marketing and our forward-deployed engineering teams. They balance long-term strategy with tactical delivery and apply modern product thinking to problems that have resisted innovation for decades. They identify and mitigate risk through effective stakeholder communication, cross-discipline collaboration, and by providing clarity and focus for teams. They apply an entrepreneurial and iterative mindset to the complex and highly technical problems of legacy software modernization.

In this role, you’ll be responsible for

• Defining the product vision and strategy for your team
• Collaborating closely with our forward-deployed engineering teams as well as technical partners to deeply understand the product experience
• Identifying and prioritizing product investments based on user needs and business goals
• Partnering with engineering and technical leadership to define your team’s roadmap
• Driving execution of the team's work in close collaboration with technical leadership
• Representing your product internally and externally with executive stakeholders, technical partners and customers
• Articulating customer value and benefits of your team’s offering and help position it within an evolving market landscape

You’re a good fit if you have

• A Bachelors or Masters degree in a technical field
• 4+ years in a product management role in a highly technical environment, preferably with strong exposure to data products
• A strong technical background, ability to grasp technical concepts and establish credibility with engineers
• Experience building products at enterprise-scale
• Excellent communication and stakeholder management skills and comfort with presenting to various audiences across seniority levels
• The ability to navigate ambiguity and deliver high-quality product experiences on tight timelines and in line with our business aspirations
• A bias for action - you’re not afraid to jump from writing a spec or story to talking to a customer or figuring out a new way to use AI tools to your advantage

Originally posted on Himalayas

Duties and Responsibilities

Product Strategy and Ownership

• Serve as the product owner for client and partner cleanroom implementations and supporting data delivery platform capabilities.

• Define product strategy, roadmaps, and priorities for privacy-conscious data collaboration and delivery solutions.

• Establish a consistent approach for supporting Acxiom data, client first-party data, and partner data within cleanroom and Acxiom environments.

• Align product direction with Acxiom’s Real Identity, data enrichment, activation, measurement, and platform modernization strategies.

• Balance client and partner specific implementation requirements with the development of scalable, reusable product capabilities.

• Identify opportunities to simplify and standardize data onboarding, permissions, processing, and delivery across clients and partners.

Clean-Room Product Management

• Lead product planning and execution for client and partner-based clean-room implementations.

• Define requirements for data ingestion, identity resolution, data matching, enrichment, collaboration, analysis, measurement, and activation.

• Establish repeatable implementation patterns that reduce time to market and improve consistency across cleanroom providers and client environments.

• Partner with clients and providers to define supported use cases, data flows, identity requirements, access controls, outputs, and success criteria.

• Develop product requirements supporting both one-to-one client implementations and scalable one-to-many partner solutions.

• Ensure cleanroom capabilities support appropriate interoperability with Acxiom Real Identity and related data products.

• Manage platform and partner dependencies, including changes that may affect existing client implementations.

Data Delivery Platform Management

• Own the product strategy for platforms that house, process, and deliver Acxiom and client-owned data.

• Establish requirements for secure data ingestion, storage, transformation, permissioning, access, distribution, and monitoring.

• Support delivery through batch files, APIs, cloud storage, database sharing, and other approved delivery methods.

• Partner with architecture and engineering to improve platform scalability, reliability, performance, observability, and cost efficiency.

• Drive modernization of legacy delivery workflows and migration to reusable platform services.

• Define operational tools and controls needed by delivery, implementation, support, and client-facing teams.

Client and Partner Implementation

• Translate client and partner needs into prioritized product requirements, implementation plans, and measurable outcomes.

• Participate in technical and business design sessions covering data flows, identity, permitted uses, delivery methods, and platform integration.

• Provide product leadership throughout implementation, launch, adoption, and ongoing optimization.

• Develop repeatable implementation playbooks, requirements templates, and readiness criteria.

• Ensure custom implementation work is evaluated for broader product applicability and potential reuse.

Supervisory Responsibilities

This position does not typically have direct reports but is expected to mentor other product managers and provide leadership across cross-functional client, partner, product, engineering, and delivery teams.

Qualifications

Required

• Five or more years of product management or related experience, including ownership of complex data, platform, or enterprise technology products.
• The position is not eligible for any type of sponsorship
• The candidate will be located in the EST/CST timezone.

• Experience leading multiple concurrent product initiatives or client implementations.

• Strong knowledge of product management methodologies, roadmap development, prioritization, and product lifecycle management.

• Experience translating client and technical requirements into scalable product capabilities.

• Domain experience in marketing data, identity, data collaboration, clean rooms, data delivery, advertising technology, marketing technology, or another information-intensive business.

• Working knowledge of first and third-party data.

• Understanding of online and offline marketing use cases, including audience creation, activation, enrichment, analytics, and measurement.

• Experience partnering with engineering, architecture, data operations, delivery, privacy, legal, security, Sales, and account teams.

• Strong client-facing and partner-management experience.

• Strong strategic thinking, problem-solving, communication, and presentation skills.

• Ability to lead complex initiatives and influence cross-functional teams without direct authority.

• Experience defining and measuring product, operational, financial, and client-success metrics.

Preferred

• Knowledge of Acxiom Real Identity, Acxiom data products, and Acxiom delivery and activation capabilities.

• Experience implementing solutions with clean-room providers, cloud data platforms, or data collaboration partners.

• Knowledge of identity resolution, identity graphs, pseudonymous identifiers, data matching, and audience population workflows.

• Experience with cloud storage, database sharing, batch delivery, APIs, and secure data-transfer patterns.

• Familiarity with platforms such as Snowflake, Databricks, AWS, and GCP.

• Experience managing platforms that host or process both provider-owned and client-owned data.

• Experience supporting both digital activation and offline data delivery.

• Experience with product pricing, packaging, go-to-market planning, and enterprise client engagement.

• Experience modernizing legacy data delivery processes or transitioning client workflows to shared platform services.

• Familiarity with privacy technologies, data governance controls, and regulated data environments.

Travel

Up to 25%.

Primary Location City/State:

Additional Locations (if applicable):

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.

Attention Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact .

Originally posted on Himalayas

We’re Changing the PropTech Industry

We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.

We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.

While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.

About Our Products

ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily—covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.

We’re looking for a Technical Staff Product Manager to own ApartmentIQ’s data platform, the foundation behind the market intelligence multifamily operators rely on every day. This role is for someone with a data science or analytics background who is as comfortable writing SQL and digging into a pipeline as they are setting product direction.

You’ll set the vision and roadmap for how we ingest, model, validate, and deliver data, working closely with data engineering, data science, and product teams. When something looks off, you’ll dig in yourself: run the analysis, trace the issue to its root cause, and turn what you find into fixes and platform improvements. You’ll also work directly with customers to learn how they use our data,

Responsibilities

• Own the strategy and roadmap for the data platform, including ingestion, data models, data quality, and delivery to internal and customer facing products
• Lead root cause analysis on data quality issues, anomalies, and metric discrepancies, and work with engineering on fixes that last
• Define data quality standards, SLAs, and monitoring so issues are caught before they reach customers
• Partner with data engineering and data science to scope technical requirements, weigh tradeoffs, and prioritize the backlog
• Turn the needs of internal data users (product, analytics, data science, customer success) and multifamily operators into clear platform requirements
• Define and track the metrics that measure platform health, adoption, and business impact
• Evaluate data sources, vendors, and partnerships that expand the depth and accuracy of our market intelligence
• Explain technical concepts clearly to non technical stakeholders and leadership

Qualifications

• 8+ years of combined experience in product management, data science, or data analytics, including at least 4 years managing data products or data platforms
• Background in data science, analytics, or a quantitative field such as statistics, economics, or computer science
• A track record of root cause analysis on complex data issues, from spotting the anomaly to shipping the fix
• Solid understanding of modern data stack concepts: pipelines, ETL/ELT, data warehousing (Snowflake, BigQuery, Databricks, or similar), data modeling, and data quality tooling
• Experience working closely with data engineers and data scientists, with enough technical depth to earn their trust and challenge assumptions
• Ability to turn ambiguous, messy data problems into clear priorities and actionable product plans
• Experience in a fast moving B2B SaaS environment; real estate, PropTech, or market data experience is a plus

Why Choose Us

• Remote-First: We offer the freedom to work from home across most of the U.S. You’ll enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together.
• Competitive Compensation: We believe in hiring the best and paying accordingly. You’ll receive acompetitive salary that reflects your impact and expertise.
• Paid Time Off: Take the time you need with our flexible vacation policy and dedicated paid parental leave to support you and your family’s biggest milestones.
• Your Health Matters: Stay healthy with high-quality Medical, Dental, and Vision insurance plans for you and your family.
• Peace of Mind (On Us): We fully invest in your security with 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance.
• Protection for Your Whole Crew: Access supplemental insurance for the unexpected, plus specialized coverage to keep your pets happy and healthy, too.
• Invest in Your Future: Secure your financial goals with our 401k Program, helping you build for the long term while you help us build the company.

If you need assistance and/or a reasonable accommodation in the application or recruiting process, please contact your recruiter.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

We want to alert you to potential recruiting scams targeting job seekers. Please note that our company will never request payment, personal information, or any confidential details during the interview process.

Originally posted on Himalayas

DUTIES AND RESPONSIBILITIES

• Fully functional and self-directed within defined product scope

• Provides guidance and informal mentorship to less experienced associates

• Directly Responsible Individual (DRI) for a single product, sub-product, or defined capability acting as the Product level first line of response to stakeholders.

• Collect and prioritize market and stakeholder requirements, turning them into actionable product enhancements and plans.

• Defines and executes product roadmap aligned to broader product or domain strategy

• Builds and maintains product business plans to support revenue, adoption, and cost efficiency goals

• Owns and manages roadmaps, product backlog, including user stories, requirements, and prioritization

• Establishes and manages quarterly OKRs and product KPIs (e.g., revenue, adoption, availability, quality, cost efficiency)

• Executes product development plans in partnership with engineering and cross-functional teams

• Collaborates with Sales, Marketing, and other stakeholders to support product launches, positioning, and adoption

• Monitors product performance and drives continuous improvement based on financial, operational, and client satisfaction metrics

• Works closely with privacy, legal, and compliance teams to ensure requirements are addressed throughout the product lifecycle

• Supports research and analysis to inform product enhancements, positioning, and competitive differentiation

• Escalates complex cross-product dependencies, strategic tradeoffs, and investment-related considerations to senior product leadership

SUPERVISORY RESPONSIBILITIES

This position does not have direct reports but may mentor less experienced associates in the role.

QUALIFICATIONS

Required

• Bachelor’s degree and 4+ years of product management or related experience,

• Strong verbal, written, and presentation skills

• Strong problem solving and analytical skills

• Background in product development, data products, or related technical environments

• Practical knowledge of product management methodologies and best practices

• Domain familiarity in marketing data, data products, or other information-intensive product environments
• The position is not eligible for any sort of sponsorship

Preferred

• Experience managing large scale implementation of data sets including - data ingestion, integration, transformation and reporting tools experience.

• Strong technical abilities with an ability to get in the weeds, where necessary. Experience with Databricks, Snowflake, SQL, Python, etc.

• Advanced, proven knowledge of Acxiom products

• Experience working in Agile/Scrum environments

• Practical experience in AdTech/MarTech or data-driven product ecosystems

• Interest in or experience with AI Concepts (Examples: MCP servers, APIs, Agent prompt crafting)

Travel %

• Up to 25%

Primary Location City/State:

Additional Locations (if applicable):

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.

Attention Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact .

Originally posted on Himalayas

The Team

At Learning Commons, we operate at the intersection of technology, research, and philanthropy. We pair product development with grantmaking to scale proven teaching and learning practices for the benefit of every learner. We aim to bring learning science into the tools educators and students use every day.

Our work is grounded in a deep belief: when technology reflects the realities of classrooms and the science of how students learn, it can meaningfully strengthen teaching and unlock new possibilities for students. The rise of generative AI offers us a once-in-a-generation opportunity to dramatically accelerate the translation of research insights into practical, classroom-ready tools; tools that honor teachers’ expertise, adapt to students’ needs, and make effective learning practices easier to access, implement, and sustain.

In today’s fragmented edtech landscape, school districts are often left piecing together products that don’t always align with curricula or instructional needs. While AI holds enormous potential to support teachers and students, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That’s why we’re building open, public-purpose infrastructure — datasets, rubrics, and resources — that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers.

The Opportunity

We are seeking a Product Manager for a 12-month fixed-term position on the Knowledge Graph team. As a Product Manager on the Knowledge Graph team, you'll help build the data layer for AI in education. AI tools for teachers and students are only as good as the data behind them — and the data they need sits scattered across incompatible formats, academic journals, and proprietary systems, so developers spend their time stitching sources together instead of building. The Knowledge Graph turns that fragmented material into structured, queryable infrastructure — connecting what students are expected to learn, the materials they learn from, and the research on how they learn best, all grounded in learning science.

This is a chance to shape a foundation that's still being built. As the graph expands into new subjects and kinds of data, you'll help decide what it covers and how much developers can rely on it, putting you at the center of how research-grounded AI reaches classrooms. It's a rare product surface — few roles combine data modeling, developer experience, and public-purpose education data in one seat — and it rewards a PM who likes to be hands-on and close to the details. You'll have real ownership from the start, with room to grow as the graph scales.

What You'll Do

• Own datasets end to end — Take each dataset from acquisition and licensing through modeling, ingestion, and launch. Write the product docs that define the work clearly enough for engineering to build and ship without rework.
• Partner with our users — Work closely with the developers and build partners who use the graph to understand their needs and where they get stuck, and spot opportunities for the graph to solve those problems. Help shape the API surfaces they build on, across the REST API and beyond.
• Plan the work, short and long term — Use partner evidence to shape the roadmap — which data to bring in and how it should grow — and plan the near-term work with engineering so the team ships against a clear, current plan.
• Work hands-on in the data — Open the source data yourself, run coverage and gap analyses, and verify what ships against the source. Decide how a new source maps onto the graph, when to reuse the model and when to extend it, and set clear, testable acceptance criteria engineers can build against.
• Keep the cross-functional team aligned — Work across engineering, Trust, partnerships, tech writers, and marketing to move each launch forward and keep everyone working from the same plan.

What You'll Bring

• 3–5 years of product management experience with a track record of shipping, preferably data products, APIs, or developer-facing platforms
• Education or edtech grounding — You've built products in education or worked in the field, and you understand how curricula, academic standards, and classrooms work well enough to judge what developers serving schools actually need
• Works well with deep technical experts — You partner with engineers and data experts as a credible peer: you ask sharp questions, pressure-test tradeoffs, and write up complex technical decisions clearly enough for developers to build on
• Hands-on data fluency and modeling judgment — You personally open raw data files (JSONL, CSV), write queries (SQL, Cypher, or similar), and pull your own counts rather than delegating the check; you can reason about entities and relationships, sketch the nodes and edges for a new dataset, and tell a data gap from a modeling gap
• Strong product sense — You understand what the people building on your product are trying to do and where they get stuck, and turn that into priorities

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000- $238,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Pay ranges outside Redwood City, CA are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Benefits for the Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Originally posted on Himalayas