You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes,including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritize, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modeling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

• Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

• Build and maintain a unified enrichment master,a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

• Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximize coverage, accuracy, and cost efficiency while minimizing redundancy

• Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

• Hands-on data manipulation and transformation,write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

• Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

• Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

• Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

• Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact,using metrics to continuously improve the enrichment ecosystem

• Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

• Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

• 10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

• Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

• Strong Salesforce experience (required),including data modeling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

• Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

• Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities,able to translate business needs into technical requirements and drive execution across cross-functional teams

• Dual data + RevOps mindset,equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimization

• Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

• Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)

• Familiarity with data quality and MDM (Master Data Management) frameworks and tools

• Experience with routing and scoring tools such as LeanData, and marketing automation platforms

• Background in startup signal detection,identifying high-potential early-stage companies through funding, hiring, technographic, and intent signals

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $190,000-$270,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the one

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Aladdin Portfolio Management Product - Technical Product Manager

BlackRock is the world's leading asset management firm and Aladdin is the central nervous system for investment professionals to see their whole portfolio, understand risk exposure, and act with precision. It is a $1BN+ technology business that has significant growth aspirations over the next five years. Being a part of BlackRock means being a part of a community of smart, results-oriented people who are pursuing some of the world's most sophisticated financial challenges. And our founder-led culture has maintained its results-oriented feel — we work hard, we work as a team, and we work with purpose. Being a member of Aladdin Product means working with the best in the industry to build innovative products that shape financial markets.

Sitting at the intersection of business, design, and technology, the Aladdin Product Management team works closely with developers, designers, researchers, data scientists, and other stakeholders to innovate, conceptualize, design, and pilot new capabilities across the investment lifecycle. As a Technical Product Manager, you will help define product vision and lead day-to-day execution of the roadmap, with a strong focus on user experience, platform APIs, and AI-enabled capabilities. There are many strategic areas that need exploration, evaluation, and prioritization, while in parallel ensuring that the tactical needs for continuing to deliver high-quality products are met.

You are:

• Passionate about building technical, user-centered solutions in close partnership with engineering and UX/UI teams

• A self-starter who enjoys solving complex problems that deepen understanding of end users and their workflows

• Comfortable translating user needs into scalable APIs, data models, and platform capabilities

• AI-curious and AI-practical: you actively use AI tools to accelerate discovery, writing, analysis, and experimentation, and can distinguish durable product value from one-off demos

• Curious to learn new skills and willing to embrace work outside of your comfort zone

• Comfortable challenging the status quo and using your entrepreneurial spirit to create new solutions

• A team player energized by working in a fast-paced, highly collaborative environment

We are:

• Passionate about building innovative, intuitive products that meet the needs of our clients

• Building AI-enabled capabilities responsibly, with a strong focus on trust, governance, and measurable outcomes

• Comfortable challenging the status quo and continuously improving how we deliver value

• Curious about financial markets, design systems, and the evolving technology ecosystem

• Results-oriented and metrics-driven

• Committed to fostering a purpose-driven culture and working horizontally to break down silos

Primary Responsibilities:

• Partner with teams across Aladdin and interact with senior stakeholders to drive strategic product decisions that accelerate the platform’s evolution

• Define and document detailed product requirements, including UX flows, API contracts, and data interfaces

• Collaborate closely with design to ensure products are intuitive, consistent, and aligned with Aladdin design standards

• Identify opportunities where AI can improve user workflows (e.g., insight generation, explanation, automation, natural-language interaction), and ensure thoughtful, transparent application

• Attend and help manage agile development rituals such as stand-ups, planning, demos, and retrospectives

• Develop, prioritize, and maintain product roadmaps; provide regular updates on progress and deliverables

• Maintain and manage product backlogs and tooling (e.g., Aha!) across the program

• Keep abreast of the competitive landscape, emerging technologies, and opportunities for partnership

• Become a subject matter expert and provide technical and product expertise to internal stakeholders, sales teams, and clients

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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As a Software Engineer at Ford Motor Company, you will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs both on-prem and cloud native. You will work on a Balanced Product Team and collaborate with the Product Manager, Product Designer, and other Software Engineers to deliver analytic solutions.

Responsibilities

• Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases.
• Author process and design documents.
• Work with the Business Customer, Product Owner, Architects, Product Designer, Software Engineers, and Security Controls Champion on solution design, development, and deployment.
• Generate metrics, perform user access authorization, perform password maintenance, and build deployment pipelines.
• Participate and/or lead incident, problem, change, and service request-related activities, including root cause analysis (RCA) and proactive problem management/defect prevention activities.

Qualifications

• 5+ years of experience in Software Engineering.
• Bachelor's degree in computer science, computer engineering, or a combination of education and equivalent experience.
• Design, develop, and deploy scalable and robust software solutions that integrate and leverage state-of-the-art Generative AI models (e.g., LLMs, Diffusion Models) into production systems and applications.
• Build and optimize the infrastructure, pipelines, and tools necessary for efficient training, fine-tuning, evaluation, and serving of Generative AI models, ensuring high performance, reliability, and cost-effectiveness.
• 1+ year of experience with developing for and deploying to cloud platforms (e.g., GCP, Azure).
• Implement and optimize cloud services and tools (e.g., Terraform, BigQuery, GCP).
• 2+ years of REST API or related development.
• 2+ years of experience in development using a combination of the following technologies:
• Languages: Java, JS, TS, Python
• Frontend frameworks: Angular, React
• Backend frameworks: Spring Boot, Node
• Proven experience understanding, practicing, and advocating for software engineering disciplines from Clean Code, Software Artmanship, and Lean, including:
• Paired/Mobbing programming
• Test-first/Test Driven Development (TDD)
• Evolutionary design
• Minimum Viable Product
• Willingness to collaborate daily with team members.
• A strong curiosity around how to best use technology to amaze and delight our customers.
• Using CI/CD tools and pipelines (e.g., Tekton, Jenkins, GIT Action, Cloud Build, etc.).

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care, and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

Salary

This position is a salary grade 8 and ranges from $113,580 to $190,500.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role

We are looking for a Product Owner, Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.

You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes—including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritise, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modelling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

• Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

• Build and maintain a unified enrichment master—a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

• Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximise coverage, accuracy, and cost efficiency while minimising redundancy

• Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

• Hands-on data manipulation and transformation—write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

• Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

• Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

• Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

• Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact—using metrics to continuously improve the enrichment ecosystem

• Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

• Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

• 10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

• Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

• Strong Salesforce experience (required)—including data modelling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

• Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

• Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities—able to translate business needs into technical requirements and drive execution across cross-functional teams

• Dual data + RevOps mindset—equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimisation

• Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

• Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)

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