Role Description The Product Manager - Data Operations position is a key operational leadership role responsible for the execution, delivery assurance, and day-to-day management of enterprise AI data consulting engagements. While the PM - Data Ops Lead sets the strategic vision, the PM- Data Operations is the "Engine Room" of the practice, ensuring that high-stakes data programs are delivered on time, within scope, and to the exacting quality standards required by Frontier AI clients. In this execution-focused role, you will combine the tactical discipline of a Technical Program Manager with the data-literacy of an Operations Analyst and the linguistic rigor of a Managing Editor. You will own the "Ground Truth" reality of our projects, managing the daily lifecycle of data annotation, RLHF (Reinforcement Learning from Human Feedback), and model evaluation pipelines. You will serve as the primary operational liaison for client engineering teams, ensuring transparency, velocity, and data integrity. The PM Data Ops is expected to have the experience to perform the duties described below for engagements focused on consulting/delivery management within the Frontier AI Data subject matter area, often supporting larger programs led by a PM Data Ops Lead or independently leading mid-sized engagements. Key Responsibilities - Product Operations & Execution (The "Data Engine") - Flywheel Operations: Execute the daily "flywheel" of data ingestion and delivery, actively manage annotation queues, monitor throughput velocities, and identify "blocked" tasks to ensure continuous data flow between client buckets and labeling platforms. - Evaluation Reporting: Implement and track the evaluation success metrics (KPIs) defined by the strategic roadmap. Generate daily and weekly reports on model performance, annotator efficiency, and data distribution to provide actionable insights to Research and Engineering stakeholders. - Prompt Library Maintenance: Maintain and version-control complex prompt libraries used for Red Teaming and model stress-testing. Ensure that "Jailbreak" and "Safety" datasets are up-to-date and correctly tagged for regression testing. - Product Innovation & Process Optimization: Continuously analyze operational data to identify bottlenecks in the labeling workflow. Configure and refine tooling workflows (e.g., Labelbox, Scale, custom UIs) to improve annotator ergonomics and reduce time-per-task (TPT). Identify new product opportunities and manage the product innovation process. - Operational Quality Assurance (The "Ground Truth") - Guideline Enforcement: Act as the operational "Managing Editor," translating high-level rubric guides into concrete, enforceable rules for annotators. Update guidelines in real-time based on edge cases and client feedback to ensure consistent tone and factual accuracy. - Human-in-the-Loop (HITL) Management: Oversee the daily quality framework. Monitor Inter-Rater Reliability (IRR) scores, conduct root-cause analysis on disagreements, and manage "Arbitration" queues to resolve complex edge cases. - Risk & Issue Management: Own the project RAID log (Risks, Assumptions, Issues, Dependencies). Proactively identify operational risks (e.g., vendor tool outages, low worker supply) and communicate mitigation plans to the PM - Data Ops Lead and client leadership. - Knowledge Transfer: Maintain the project "Knowledge Base," ensuring that all delivery methodologies, decision logs, and technical SOPs are documented, understood, and followed by the delivery team from initiation to closeout. Update key artifacts reflecting continuous improvements and lessons learned. - Client Partnership & Delivery Assurance - TPM Liaison: Serve as the primary point of contact for Client TPM Leads and Forward Deployed Engineering Leads regarding daily status, blockers, and sprint planning. Ensure a "No Surprises" culture through transparent and frequent communication. - Pre-Sales Support: Assist sales and strategic teams by providing data-driven estimates for effort, timeline, and resource requirements. Lead "Proof of Concept" (POC) executions to demonstrate operational capability to prospective clients. Qualifications - Bachelor’s degree in Computer Science, Linguistics, Data Analytics, or a related technical field, or equivalent practical experience. - Approximately 3–7 years of experience in technical program management, product operations, or enterprise service delivery, with specific experience in data-intensive or AI/ML environments. - Hands-on experience with data annotation platforms, editorial workflows, or managing operational teams (e.g., support ops, trust & safety, content moderation). - Strong Sheets/Excel/Tableau skills for reporting; familiarity with JSON/Python for data handling is a strong plus. Excellent technical judgement. - Proven ability to manage sprint schedules, unblock technical teams, and maintain high quality under tight deadlines. Requirements - Experience acting as a Team Lead or Operations Manager for large groups of knowledge workers (writers, annotators, analysts). - AI/Data Certification, Certifications in Data Analytics, Agile (CSM, PSM), or CAPM (Certified Associate in Project Management). - Prompt Engineering Familiarity, understanding of LLM prompting techniques (Chain-of-Thought, Few-Shot) and common failure modes (hallucinations, bias). - Experience configuring and managing projects in tools like Jira, Linear, Labelbox, Scale AI, or similar HITL platforms. - Proficiency in multiple languages is a plus for global model evaluation projects. - Experience with AI product management. Benefits - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Permanent position based out of Dallas, TX. Pay and Benefits The pay range for this position is $128,000.00 - $192,000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on May 22, 2026.

Role Description The Senior Product Manager - Body Composition is responsible for shaping the strategic direction, growth, and market leadership of our global Body Composition portfolio. This role focuses on advancing solutions that deliver meaningful body composition insights across clinical, health & wellness, and longevity markets—empowering providers, coaches, and consumers to drive better health outcomes throughout their wellness journey. You will translate customer needs into product strategy, identify emerging market opportunities, and lead cross-functional teams to deliver innovative solutions that accelerate adoption and business growth. This role requires a blend of strategic thinking, customer empathy, and execution excellence to ensure our solutions deliver measurable value and maintain market leadership. Qualifications - Bachelor’s Degree in Marketing, Engineering, Business Administration, Life Sciences, or related field. - Minimum of 10 years of experience in product management, product marketing, medical devices, digital health, wellness technology, or related fields. - Experience working in regulated healthcare environments or adjacent wellness/fitness markets. - Team oriented with proven ability to work well with global and cross-functional teams. - Strong communication and interpersonal skills, with the ability to collaborate across technical and non-technical stakeholders. - Excellent project management and organizational skills. - Must be legally authorized to work in the United States full-time. Requirements - MBA or Master’s degree in Marketing, Business Administration, or related field. - Experience in body composition, metabolic health, digital health, or wellness technology. - Strong understanding of body composition measurement technologies. - Customer-facing experience in sales, clinical applications, marketing, or product commercialization. - Ability to thrive in a fast-paced, evolving market with both clinical and consumer-facing dynamics. Benefits - Competitive benefits package, including medical, dental, and vision. - Paid time off. - 401(k) plan with employee and company contribution opportunities. - Life, disability, and accident insurance. - Tuition reimbursement. Company Description GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Description We are looking for a Product Manager who will be part of the Product Team. We are focused on product adoption with an enterprise offering. You'll shape how enterprise teams experience structured content — turning the gap between technical power and editor usability into a competitive advantage for Hygraph. - Owning the product experience and feature set for your specific domain, grounded in customer outcomes and business strategy. - Regularly speaking to customers to solve issues, discuss new features, and identify new opportunities. - Run structured discovery — interviews, usability sessions, usage analysis — to understand how our customers use and struggle with Hygraph today. - Capturing insights and learning from competitor analysis, user research, and qualitative and quantitative data to inform new ideas and effective prioritisation. - Partner with engineering to brainstorm, scope, prioritize, and ship iteratively, and work with your team on shaping & delivery of relevant product improvements, carefully monitoring if they move the needle on the key metrics we have identified. - Collaborate with go-to-market teams to shape positioning, enablement materials, and launch plans. - Owning internal communication around your projects with other teams and relevant stakeholders. - Contributing to the product vision, strategy, and roadmap for your focus area. Qualifications - 3+ years of product management experience in B2B SaaS, ideally with CMS, PIM, DXP, or DAM. - Demonstrated track record of driving product development through research, planning, implementation, launch, analysis, and iteration cycles. - Experience of working in a goal-oriented way: you can tie product improvements to specific products and business goals and explain how they connect. - An analytical mindset and proven ability to analyse and synthesise data to inform decisions. - Demonstrated technical proficiency and effectiveness in working closely with engineers. - Comfort working across dual audiences — developers who care about API ergonomics and content teams who care about workflow clarity. - Hands-on fluency with modern AI tools (Claude or equivalent) — you use them daily as a working partner across discovery, drafting, prototyping, and analysis, well beyond occasional ChatGPT prompts. - Collaborative and direct, you have a strong opinion that you can back with evidence. - Has experience in user research — interviews, synthesis, jobs-to-be-done mapping, or usability testing at a meaningful scale, or has a solid understanding of interaction design. Requirements - Nice to have: Experience with headless CMS, content infrastructure, or composable architecture. - Familiarity with GraphQL and how API design shapes developer experience. - Prior working experience in an async and hybrid work structure. The Process - Intro call with People Team - Interview with Hiring Manager - Live Session/Case study with team - Team Fit call and reference check - Job offer. Company Description Hygraph is a dynamic Berlin-based startup and a GraphQL-native, API-first headless CMS built for teams delivering complex, composable digital experiences. Hygraph is on a mission to eliminate complexity for global teams and help them scale content without friction. Our platform empowers you to create, deliver, and distribute content faster and at scale. We’re a team committed to shaping the future of AI-powered content platforms. Trusted by over 50,000 teams worldwide, Hygraph powers structured content across websites, applications, product experiences, and AI-enabled systems. As AI reshapes how digital experiences are created and operated, Hygraph is helping organizations build on structured, trusted content foundations that enable human-first, AI-accelerated experiences at scale. You will be part of a remote-first, globally distributed team committed to working collaboratively, transparently, and passionately. We believe in a remote-first approach where everyone is encouraged to do their best from wherever they are and work together with transparency, accountability, and ownership. We learn continuously through feedback and have a yearly learning budget to attend training and conferences. Hygraph is an equal-opportunity employer committed to hiring people with diverse backgrounds. We believe that diversity, unique experiences, qualities, and different cultures enrich our workspace's productivity and promote innovation and creativity. Note: We are fortunate to receive a large number of applications for our roles. To manage this effectively and give each application the attention it deserves, we use AI-assisted tools to help assess certain screening questions and handle application elements. This helps us ensure a consistent and timely review process. All final hiring decisions are made exclusively by our human recruitment team.

Role Description We are hiring an Associate Product Manager (APM) to support our Metrics & Feeds initiatives on the Public Investor team. This role sits at the intersection of data, platform infrastructure, and client delivery. You will be responsible for ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published. Your work will directly enable external dashboards and data delivery that power critical investor workflows, while enabling our data to be more reliably consumed through programmatic and AI-powered surfaces. This is an ideal role for someone early in their product career who is excited about data systems, platform thinking, and operational rigor, and who wants to drive meaningful impact across a highly cross-functional organization. In this role, you’ll gain experience: - Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds. - Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices. - Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value. - Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency. Qualifications - 2–4 years of experience in product management, analytics, data, or a related field. - Strong data fluency, including SQL and familiarity with modern data platforms (e.g., Databricks), pipelines, and PySpark. - Experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices). - Enjoy solving ambiguous problems and building structure where none exists. - Care deeply about data quality, consistency, and scalability. - Comfortable and familiar with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers. - Strong analytical, communication, and collaboration skills. - Curious, adaptable, and eager to learn. Requirements - 2–4 years of experience in product management, analytics, data, or a related field. - Strong data fluency, including SQL and familiarity with modern data platforms (e.g., Databricks), pipelines, and PySpark. - Experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices). - Enjoy solving ambiguous problems and building structure where none exists. - Care deeply about data quality, consistency, and scalability. - Comfortable and familiar with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers. - Strong analytical, communication, and collaboration skills. - Curious, adaptable, and eager to learn. Benefits - Flexible work hours and flexible vacation. - Generous 401K match. - Parental leave. - Team events. - Wellness budget. - Learning reimbursement. - Equity included in the compensation package.