Playlist is hiring a Manager, Technical Program Management (Cyber Security) to lead and grow a team of Security and IT technical program managers, own the cyber and IT program portfolio, and establish operating rhythms for intake, prioritization, resourcing, and reporting. The role requires 6+ years in program management (including 2+ years managing people), experience running security or IT programs, strong technical aptitude, and familiarity with information security frameworks such as NIST, PCI-DSS, or HITRUST. Compensation range in the United States is listed as $131,000 to $175,000 base salary.

Cribl is hiring an FP&A Systems and AI Enablement Manager to own the Pigment EPM platform, translate business requirements into technical models, drive architecture for planning and forecasting, and identify/pilot AI use cases (e.g., automated commentary, anomaly detection, scenario modeling). Role requires 5+ years in a hybrid FP&A/systems role, hands-on EPM implementation experience, exposure to integrations (Workday, NetSuite, Salesforce), and active daily use of LLMs/automation tools. Position is remote-first with San Francisco listed as the location; base salary range $90,000–$150,000 USD.

New Relic seeks a remote Account Executive focused on LATAM accounts. Role requires fluency in Spanish, approximately 3+ years of enterprise software sales (selling to large enterprises/F1000), consultative selling skills, ability to present to C-suite, and up to 25% travel. Position lists estimated on-target earnings of $237,500 USD and indicates visa sponsorship is not available.

New Relic is hiring an Account Executive to drive software and enterprise sales across the East/Northeast region. The role is remote with frequent regional travel, requires at least 1 year of software sales experience, consultative selling skills, and experience engaging C-suite stakeholders; prior experience with observability, DevOps, or cloud software is a plus.

Hands-on Technical Product Manager role focused on designing and delivering production AI Agent applications for Veeva QualityDocs (quality content management) and Veeva Training (LMS). Responsibilities include AI product feature design and development, data flow and orchestration, prompt design, model integration, and collaborating with engineering and UX. Requires 5+ years enterprise SaaS product/engineering/consulting experience with 2+ years focused on AI/ML, coding in Python, experience with AI frameworks/APIs, and strong communication and collaboration skills. Base pay listed: $75,000–$165,000 per year. Must be based in or within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager (AI) to design and deliver AI agent solutions for Veeva QualityDocs (regulated quality content management) and Veeva Training (LMS). Role involves hands-on design and development of AI features, building production AI agent applications (data flow, orchestration, prompts), working with engineering and UX to automate business processes, and presenting capabilities to stakeholders. Requires 5+ years enterprise SaaS product/technical experience (2+ years on AI/ML), coding in Python, familiarity with AI frameworks/APIs, LLMs, prompt engineering, and the ability to be located within one hour of the Eastern Time zone. Travel ~20%.

Veeva seeks a Technical Product Manager with 5+ years in enterprise SaaS product management, engineering, or consulting and 2+ years focused on AI/ML to design, build, and deliver production AI agent features (data flow, orchestration, prompts, model integration) for QualityDocs and Training. Role requires Python and hands-on experience with AI frameworks/APIs, strong collaboration and communication skills, ability to travel ~20%, and being based within one hour of the Eastern Time zone.

Seeking a technical product manager with 5+ years in enterprise SaaS and 2+ years focused on AI/ML to design and deliver production AI Agent applications (Docs to Data) across Veeva Quality Cloud. Role requires hands-on design, Python coding, experience with AI frameworks/APIs, data flow and model integration, collaboration with engineering and UX, and ability to travel ~20%. Based in or within one hour of the Eastern Time zone (Toronto, Canada listed).

Veeva seeks a Technical Product Manager (AI) to design and deliver production AI Agent applications that analyze documents and extract structured data for the Veeva Quality Cloud (Docs to Data). Requires 5+ years enterprise SaaS product/technical experience (2+ years in AI/ML), hands-on Python coding, experience with AI frameworks/APIs, LLMs, prompt engineering, data flow design, and model integration. Must be located within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager to lead design and delivery of AI agents that extract document content into structured data for Veeva Quality Cloud. Responsibilities include hands-on AI agent design, data flow and orchestration, model integration, and collaboration with engineering and UX. Requirements: 5+ years enterprise SaaS product/engineering/consulting experience, 2+ years on AI/ML applications, Python coding, experience with AI frameworks/APIs, LLMs and prompt engineering. Base salary range listed: $75,000–$165,000. Must be located within one hour of Eastern Time and able to travel ~20%.

Recent graduates join a Business Consultant Development Program to work on customer-facing engagements using Veeva software and data to drive operational and business improvements in life sciences. Role requires strong communication, process- and data-driven analysis, up to 20% travel, and legal authorization to work in the EU (no visa sponsorship).

Veeva is hiring recent university graduates for an Associate Business Consultant position within its Life Sciences Commercial Business Consulting practice. The role involves supporting customer engagements (communications, workshops, interviews), analyzing processes and data to identify improvements, leveraging Veeva software, and traveling up to 20% annually. Start date anticipated October 2027. Candidates must be fluent in English and legally authorized to work in the EU; Veeva does not sponsor visas.

Remote, full-time permanent consultant role (Boston, MA locality) requiring 3+ years in AI strategy or implementation consulting. Responsibilities include advising drug safety clients on AI adoption and governance, building validation/testing frameworks and monitoring dashboards (CSV/GxP compliance), leading implementations and training, and supporting customer success. Travel up to 50%; employer does not anticipate visa sponsorship.

Stripe is hiring a senior Partner Development Manager on the Strategic Partnerships team to evaluate and develop business cases, negotiate and manage complex partnerships, and work with Product, Engineering, GTM, and Operations to scale partnership initiatives. The role requires ~10+ years of partnerships experience, strong technical acumen in Stripe's product areas, and proven experience negotiating commercial deals with financial and technology institutions.

Lead a team of machine learning engineers responsible for sourcing and shaping candidate inventory for Reddit's personalized feeds. Responsibilities include defining technical vision and roadmap for Feed Retrieval, overseeing design and optimization of retrieval systems, establishing measurement and experimentation practices, collaborating with ML platform and product teams, maintaining system performance and reliability, and recruiting/hiring. Qualifications include 2+ years managing ML or recommender-systems teams and hands-on experience with large-scale production ML (recommenders, embeddings, transformers/LLMs). Base salary range listed: $253,300–$354,600 USD per year.

Manage the Feed Ecosystems team to define technical vision and roadmap for recommender-system investments; oversee design and delivery of ML systems for cold-start relevance, post/community distribution, and feed quality; partner with product, design, data science, safety, ads, and platform teams; and hire and develop ML engineering talent. Requires 2+ years leading ML or recommender-systems teams and hands-on experience with large-scale production ML.

Experienced regulatory project manager role supporting Global Regulatory Leads to develop and execute globally aligned regulatory strategies and plans (IND/BLA/MAA), manage submission readiness (eCTD, Veeva RIM), facilitate Global Regulatory Subteam (GRST) meetings, and drive cross-functional alignment. Requires a scientific/healthcare degree, minimum 7 years industry experience (≥5 years in regulatory or regulatory program management), hands-on submission experience, and strong project management and communication skills.

Embed with internal customers to provide architectural guidance, build code and tooling, and drive GPU capacity and infrastructure efficiency across compute, storage, networking, and orchestration layers. Requires 12+ years building distributed systems and cloud infrastructure, production coding experience (Golang/Java/C/C++/Python/Rust), and expertise with Kubernetes, storage, networking, and deploying AI/ML workloads at scale.

Lead and coach a team of Storage Production Engineers to design, deploy, and improve distributed, parallel file, and object storage systems. Own capacity planning, lifecycle management, high availability, disaster recovery, incident response, and operational KPIs. Requires hands-on experience with enterprise storage platforms, storage networking/protocols, automation/IaC, and monitoring/observability. 12+ years experience and 6+ years of people/technical leadership are required.

Role requires 5+ years in infrastructure technology sales to prospect, demo, run proofs of concept, negotiate and close new enterprise accounts. Responsibilities include pipeline and forecast management (Salesforce), quote and order processing, collaborating with Customer Success, and meeting quarterly and annual sales targets. USA OTE range listed at $270,000–$300,000.