Global Data Science Lead

Responsible for leading and mentoring a global team of data scientists, AI/ML engineers, and analysts to deliver advanced analytics, machine learning, and generative AI/LLM solutions for life sciences customers. Own methodology and model lifecycle (management, observability, testing, deployment), collaborate with consulting and product stakeholders, and enforce data quality, governance, and responsible AI practices. Requires Ph.D. + 5+ years (or M.S. + 8+ years) experience and demonstrated leadership of 10+ people. Location listed as Massachusetts (Boston); role is offered with Veeva's Work Anywhere policy.

The Global Data Science Lead will head the Data Science function within Veeva's Global Analytics Business Consulting team, leading data scientists, AI/ML engineers, and analysts to design and deploy advanced analytics, ML, and generative AI/LLM solutions for life sciences clients. Responsibilities include translating Data Science strategy into delivery, owning global methodology (model management, observability, testing, deployment), ensuring scalable data/AI infrastructure, enforcing data quality, security, governance and responsible AI practices, and collaborating with consulting, engineering, and product stakeholders. Minimum qualification: Ph.D. with 5+ years relevant industry experience (or M.S. with 8+ years). Base pay range listed: $120,000–$250,000 (USD).

Role to design and implement security architecture patterns for AI tooling: convert security standards into machine-enforceable formats, build evaluation and verification workflows for generated code, maintain reference implementations (templates, Helm charts, container images), and elevate prototypes to production with reliability, observability, and access controls. Requires 8+ years in security/platform/DevSecOps or software engineering for large distributed systems and proficiency with cloud-native tooling (Kubernetes, Helm), Python or Go, CI/CD, policy-as-code, and threat modeling.

Hands-on Senior Manager, Application Security responsible for defining the AppSec roadmap (vulnerability management, threat modeling, secure SDLC), driving early remediation work, and embedding security-by-default practices. Manages the Compliance Lead and IT team leads, owns vendor security assessments and application-layer incident response, and communicates security posture to leadership and customers. Role is remote, reports to VP of Engineering, and requires 7+ years of AppSec experience.

Fingerprint seeks an Engineering Manager to lead a new Automation Intelligence team (starting ~3 engineers) responsible for detection across browser and edge, classification, and contract-first APIs. Responsibilities include shipping Beta→GA→launch, building measurement-driven detection quality loops (test corpora, FP/FN tracking, regressions), running staged rollouts, establishing engineering practices, and operating an AI-native agent-first development model. The role reports to the VP of Engineering and is open across the United States; Fingerprint does not sponsor visas.

Join 1Password's Revenue Operations team as a Staff GTM Engineer to design and implement AI-powered solutions and automations for go-to-market workflows. The role involves building Python scripts, internal APIs, and integrations across SaaS tools; working with AI platforms (e.g., OpenAI, LangChain); and partnering with GTM leaders to prioritize and deploy scalable, governed AI workflows. Remote within the US or Canada with occasional travel.

Lead large technical programs across engineering, product, and partner teams from scoping through delivery. Improve incident response, define TPM standards and playbooks, and drive execution on infrastructure, reliability, and scalability initiatives. Requires 5+ years of technical program management experience, a BA/BS in a technical field, hands-on fluency with AI tools, and strong systems thinking. Relocation expense coverage to NYC or SF is mentioned in benefits.

Join NVIDIA's Prediction team to design and productize end-to-end deep learning solutions for multi-modal, scene-consistent prediction in autonomous vehicles. Responsibilities include research and development of DNN models (e.g., using PyTorch), data-driven development with data collection/labeling teams, simulation and augmentation for extreme scenarios, and meeting product requirements for safety, latency, and software robustness. Minimum experience varies by degree (PhD: 6+ years; MS: 10+ years; BS: 12+ years). Base salary range: 224,000 USD - 356,500 USD per year.

Lead and develop the Application Security team for MetaMask, owning strategy, OKRs, KPIs, threat modelling, security design reviews, secure SDLC, supply chain controls, code review, vulnerability management, and external testing programs (bug bounty, pentests). Requires ~8+ years in AppSec or security-focused engineering with at least 2 years people management and strong practical code review skills in TypeScript/JavaScript, Go or Solidity. Role reports to Head of Security and works closely with engineering leadership. Remote-first within EMEA, explicitly not considering candidates based in France, Italy, or Germany.

The Staff Solutions Architect (AI SME) is a deep technical authority for a single GitLab product group, working with Account Solutions Architects, Product, and Engineering to drive technical wins on large, complex opportunities. Responsibilities include designing PoV/PoC evaluations, leading technical workshops and executive briefings, producing reusable assets (architectures, demos, playbooks), and supporting adoption through handoff to post-sales teams.