Data Scientist, Platform and B2B Products Job at OpenAI (San Francisco)

Applied Scientist (all genders) - B2B Data Science and Algorithms

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, …)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and experience working with large-scale datasets
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders
A collaborative, product-oriented mindset and a desire to see your work create real-world impact
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers

Job Responsibility

Building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory
Shape the Product from Day One: You won't be a 'model factory' stuck in a silo! You will be a core scientific partner, working directly with product and user research to define the problem, not just solve it
Solve High-Stakes, Complex Scientific Problems: You'll be tackling cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting (including returns and lead-times), and building recommender systems for assortment planning
Pioneer Agentic AI & Robust Evaluations: You will contribute to defining how we measure their performance/success in the user’s agentic journey
End-to-End Ownership: You will have the autonomy to see your ideas through from initial research and prototyping all the way to production
Drive Impact at a multi-merchant scale: You will be building platform-level services that scale across hundreds of diverse partners/merchants

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Data Scientist – AI, LLMs & Data Pipelines

This role is for our US-based Media Analytics client account, a distributed SaaS...

Location

India , Pune

Salary:

Not provided

SRKay Consulting Group

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production
Minimum of 2 years’ experience with LLM’s
Proven experience applying LLMs and generative AI to real-world business problems
Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
Expert Python skills – you write clean, maintainable, tested, and efficient code
Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
Fluent in SQL with ability to work efficiently with PostgreSQL datasets
Experience using Docker for local and production development
Proficiency with LangChain for building multi-step LLM workflows
Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time

Job Responsibility

LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery
Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort
Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms
Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes
Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality
Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life
Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data—upgrading these to use workflow orchestration tools for robustness and automation
Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows
Model evaluation & monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks
Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets

Fulltime

Senior/Staff Data Scientist, Infrastructure

Glean is building a world-class data organization spanning data science, applied...

Location

United States , San Francisco Bay Area

Salary:

175000.00 - 250000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

7+ years of experience in a highly quantitative data science role
Degree in Statistics, Mathematics, Computer Science, or a related field
Strong proficiency in SQL and Python
Experience working with modern data stacks (e.g., dbt, analytics engineering pipelines)
Experience analyzing nascent, complex datasets and translating them into clear, actionable insights
A strong product and business mindset, with experience defining KPIs, guardrail metrics, and dashboards that influence decisions
Solid grounding in statistics, including experimentation and non-experimental methods
Ability to independently own projects end-to-end, from problem framing to delivery
Clear, concise communication skills, with the ability to explain complex analyses to both technical and non-technical audience

Job Responsibility

Become a deep expert in Glean’s product telemetry, billing data, and platform systems, partnering closely with Product, Finance, and Infrastructure to self-serve insights
Develop and evolve metrics that capture enterprise readiness, deployment health, and time-to-value, from initial rollout to sustained adoption
Drive deployment and infrastructure cost optimization by analyzing usage patterns, workload drivers, and scaling behavior across customers
Partner with platform and infrastructure teams to model and optimize the economics of core systems such as connectors, indexing, and knowledge graph infrastructure, ensuring margins scale sustainably with usage growth
Support pricing, packaging, and monetization decisions through thoughtful analysis of usage, consumption, and cost drivers
Improve observability and data quality for billing and enterprise-critical workflows, identifying gaps and driving alignment across systems
Build analytics and models to support security and trust initiatives, including threat detection, abuse patterns, and monitoring for enterprise-critical products
Analyze and improve the cost efficiency of compute-intensive workflows (eg: mining and indexing), identifying trade-offs between product value, performance, and unit economics
Lead cross-functional data science projects end-to-end, translating ambiguous problems into clear, actionable insights

What we offer

Medical, Vision, and Dental coverage
Generous time-off policy
Opportunity to contribute to your 401k plan
Home office improvement stipend
Annual education and wellness stipends
Vibrant company culture through regular events
Healthy lunches daily

Fulltime

Senior Product Manager, Growth

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

United States , Oakland

Salary:

Not provided

Fivetran

Expiration Date

Until further notice

Requirements

4+ years of growth product management or equivalent data-driven growth role
Hands-on analytical skillset with ability to independently dig into data and use product analytics tools (e.g. Amplitude, Heap, Hex, Sigma, SQL)
Expertise in A/B testing and experimentation best practices
Proven success working across multiple products or surface areas
Comfortable collaborating closely and asynchronously with engineers, designers, data scientists, and go-to-market teams
Willingness to go deep in technical products and build empathy for technical users
Excellent cross-functional communication
Proven ability to manage multiple projects, prioritize effectively, and demonstrate material business impact
Curiosity and adaptability in learning emerging AI capabilities

Job Responsibility

Own and evolve the growth product roadmap across the Fivetran platform
Be an expert in experimentation from hypothesis development and test design to interpreting results and scaling what works
Identify opportunities to leverage AI and automation to improve user onboarding, conversion, engagement, retention, and monetization
Partner with teams on core initiatives that unblock growth across the platform
Gather and use data to uncover friction points and propose high-impact experiments or product changes
Use AI-powered tools and workflows to accelerate product discovery, experimentation velocity, and decision-making
Deep-dive in Fivetran products regularly to build user empathy and find opportunities to optimize
Understand B2B SaaS marketing and sales motions to drive cross-functional success
Partner closely with design, engineering, analytics, marketing, customer-facing teams, and other PMs to launch enhancements and experiments
Collaborate with engineering and data teams to evaluate and implement AI-driven product experiences where appropriate

What we offer

100% employer-paid medical insurance
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Senior Business Development Manager - Google Cloud

At TRKKN, we are driven by the excitement of taking our client's data-driven bus...

Location

Germany , Düsseldorf; München; Hamburg; Berlin

Salary:

Not provided

Trakken GmbH

Expiration Date

Until further notice

Requirements

Proven track record in B2B sales or Business Development, specifically within the Cloud industry
Solid understanding of the Google Cloud Platform (GCP) ecosystem, including its core products and licensing models
An existing network within the Google Cloud organization or the broader cloud ecosystem is a significant advantage
Fluent in English and German (min. C1), with the ability to explain complex technical concepts to non-technical C-level executives
A proactive mindset and the flexibility to travel as needed to meet clients and partners in person.

Job Responsibility

Build and manage a robust sales pipeline for TRKKN’s Google Cloud & AI solutions, targeting a diverse portfolio from mid-market leaders to global enterprises
Actively tap into the Google Cloud Sales organization, navigating their matrix to co-create joint sales plays and accelerate 'better together' value propositions
Identify new opportunities through high-level networking, industry events, and close collaboration with Google, technology vendors, and agency partners
Lead the entire sales cycle—from initial prospecting and technical discovery to high-stakes presentations and final closing
Partner with our cross-functional teams (Cloud Architects & Data Scientists) to translate client challenges into bespoke Google Cloud solutions
Craft compelling, data-driven pitch decks and customized proposals that highlight the ROI of GCP migrations and data modernization
Lead negotiations for complex license fees (GCP) and professional services contracts, navigating procurement and legal requirements with ease
Represent TRKKN on-site
willingness to travel (primarily within the DACH region) is essential to build deep-rooted trust with key stakeholders and attend industry events
Analyze customer landscapes to identify strategic cross-selling and upselling opportunities within the wider Google ecosystem.

What we offer

Competitive salary
Knowledge sharing & company events
Personal development plan & leadership training
Hybrid work model
Choose your device

Fulltime

Leader, Product Support

The Product Support Leader will lead our West Coast customer support team in clo...

Location

United States , San Francisco

Salary:

127500.00 - 172500.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

5+ years of experience in technical customer support, professional services, or a related customer-facing role in B2B software, ideally SaaS
2+ years of people management experience, with a demonstrated track record of building, coaching, and developing high-performing support teams
Proven ability to manage customer escalations with composure, empathy, and a bias toward resolution — including experience representing your organization in live customer conversations
Strong operational skills: experience managing ticket queues, resourcing, prioritization frameworks, and SLA-driven environments using tools like Salesforce, Zendesk, JIRA, or similar platforms
Excellent judgment in prioritizing customer issues based on urgency, severity, and business context (e.g., customer health, contract value, renewal timing)
Strong written and verbal communication skills — able to communicate clearly and credibly across functions, levels, and geographies, including with customers, account teams, and engineering partners
Experience with cross-functional collaboration in a post-sales environment, including working with Customer Success, Professional Services, and Engineering teams
Demonstrated ability to analyze complex problems, identify root causes, and drive systemic improvements
Flexible, action-oriented, and comfortable operating independently in a fast-paced, evolving environment

Job Responsibility

Develop, coach, and grow a team of support professionals — setting clear expectations, providing regular feedback, managing performance, and investing in career development aligned with Benchling's 'Recruit and develop the best' principle
Build team capabilities to support Benchling's expanding product surface, including AI agents, predictive models, and new automation features that are rapidly becoming part of scientists' daily workflows
Ensure the team continuously documents and updates product knowledge in help articles and internal knowledge bases, including emerging AI product capabilities
Own the daily operations of West Coast customer support, including strategic resourcing, queue management, and capacity planning to deliver consistent, high-quality service across all customer segments
Own and report on support metrics and KPIs (volume, case trending, resolution time, CSAT), using data to drive decisions and building influence through voice-of-customer insights shared with Product, Engineering, and CX leadership
Lead and drive process improvement initiatives with measurable outcomes — identifying gaps, proposing solutions, and executing changes that elevate the customer support experience
Serve as the primary escalation point for West Coast customers, deeply understanding scientist pain points and ensuring timely, high-quality resolution in partnership with Engineering, Product, and CX teams
Collaborate cross-functionally with Customer Success, Professional Services, Account Management, Product, Engineering, and delivery partners (including Zifo) to coordinate on customer issues through resolution
Partner with the Head of Support to shape and execute the support strategy, contributing insights on process improvement, tooling, team structure, and enterprise readiness
Represent Support in customer visits, meetings, conferences, QBRs, and marketing events as a credible, customer-facing leader

What we offer

Equity
Health
Dental
Vision
401(k)+ employer match
Wellness
Commuter

Fulltime

Product Manager, Automation

We are seeking a visionary Product Manager to lead Benchling's automation and da...

Location

United States , San Francisco

Salary:

182000.00 - 247000.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

5+ years of product management or relevant automation industry experience, preferably in B2B SaaS, with a focus on workflow automation and data orchestration platforms
Strong technical background, including deep understanding of APIs, data pipelines, ETL workflows, and software engineering principles
Experience building low-code/no-code platforms or workflow automation tools, with the ability to balance simplicity for non-technical users with extensibility for technical users
Demonstrated ability to lead complex, platform-level products that serve multiple customer personas (e.g. scientists, automation engineers, IT administrators)
Proven track record of developing and launching successful products, from ideation through implementation
Excellent technical communication skills, with the ability to collaborate effectively with engineers, architects, and other technical stakeholders
Comfort with ambiguity and strategic thinking, with the ability to balance long-term platform vision with near-term customer needs
Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders
Experience with Agile/Scrum methodologies, with the ability to adapt quickly in a fast-paced, evolving environment

Job Responsibility

Define and drive the product vision and strategy for Benchling's automation and data orchestration platform, including Pipelines (backend platform) and Automation Designer (customer UX) capabilities
Enable automation that orchestrates end-to-end scientific workflows—from instrument and automated workcell data capture through analysis, Benchling actions, and cross-system integrations
Work closely with engineering teams to prioritize, develop, and launch product features that align with the company's goals and user needs
Collaborate with UX/UI designers to ensure the Automation Designer provides a flexible, intuitive interface that enables customers to create complex, multi-step data automation workflows through a visual, low-code/no-code environment
Foster a culture of innovation, encouraging team creativity and problem-solving to address the complex needs of our users
Conduct thorough market research and user feedback sessions to understand the needs and challenges faced by end users, translating these insights into product features
Define KPIs and success metrics for automation adoption, workflow reliability, and the product's impact on enhancing scientific research and decision-making processes
Collaborate cross-functionally with Platform, Infrastructure, and Application teams to ensure automation capabilities are scalable, reliable, performant, and seamlessly integrated into the broader Benchling platform, delivering unified customer experiences that support enterprise workloads and complex requirements
Drive the strategic evolution toward agentic AI and DBTL (design-build-test-learn) workflows while partnering closely with AI & Analytics teams to embed intelligent automation, experiment optimization, and lab-in-the-loop learning into scientific workflow orchestration
Partner with customer-facing teams (Sales Consulting, Professional Services, Customer Success) to identify high-value automation use cases, build reference implementations, and drive adoption

What we offer

Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation

Fulltime

Product Manager

The demand for accelerating scientific research is greater than ever. Benchling ...

Location

United States , Boston

Salary:

164000.00 - 247000.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

5+ years of software product management experience, preferably with a B2B SaaS product
Proven ability to lead and ship complex product initiatives and drive 0→1 product development
Bias for action and a history of shipping products quickly and iteratively in a fast-paced, agile environment
Knowledge of small molecule R&D or a demonstrated track record of rapidly building domain expertise in a complex, regulated industry
Strong communicator who thrives in cross-functional, fast-moving environments
Empathetic collaborator who can bridge the gap between scientists, engineers, and business teams

Job Responsibility

Define and execute the product vision and roadmap for Benchling’s small molecule R&D solution, prioritizing features based on market opportunity, customer needs, and business impact
Own the go-to-market strategy for the product, collaborating with marketing, sales, and customer success to ensure successful launch and adoption
Partner closely with customers and field teams to deeply understand our customer’s scientific workflows, pain points, and market trends
Translate domain-specific insights into intuitive, scalable software capabilities with exceptional UX/UI that integrate seamlessly across Benchling’s platform
Collaborate with engineering, design, and data teams to deliver high-quality products on time and measure success using clear product KPIs
Drive alignment across stakeholders, communicating priorities, tradeoffs, and expected business outcomes clearly and persuasively

What we offer

Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation
Company-wide Winter holiday shutdown

Fulltime

Select Country

Data Scientist, Platform and B2B Products

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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