Partner Engineer Jobs

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Founder’s Office is a unique and high visibility team whose work spans the entire business, so our Data and Analytics arm presents an opportunity for high ownership, visibility, and impact across the entire company. The team is highly collaborative and works directly with leadership to optimize operations and strategy across company growth strategy, partnerships, pricing, and cost optimizations. About the Role In this role, you will be responsible for building 0 to 1 data infrastructure that enables the company to make informed strategic discussions. Specifically, this means working in Python and SQL across multiple databases and parsing through complex Engineering and AI logs to construct trustworthy and reliable datasets that will enable intuitive and confident decision making. In this role, you will: Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data Translate ambiguous business scenarios into measurable data problems sp

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the role We are looking for a collaborative Staff Technical Program Manager, Engineering Onboarding to build an AI-first onboarding experience that helps new engineers become confident, effective builders. You will create the technical learning, practical support, and community that enable engineers to understand Affirm’s systems, ship, and grow their impact. What you’ll do You will own the design and delivery of Engineering onboarding, creating a welcoming, technically credible experience for new engineers across North America and EMEA. You will lead hands-on learning experiences at our San Francisco office, complemented by virtual and regional programming that helps engineers build relationships, context, and practical fluency. You will partner with Engineering leaders and subject-matter experts across Developer Productivity, SRE, Security, Architecture, and Product teams to build and maintain useful technical onboarding content. You will translate Affirm’s AI-first engineering practices into practical learning experiences, including agent-assisted development, code review, testing, CI, deployment, observability, and production support. You will work with managers and buddies to create clear, role-relevant onboarding plans that help new engineers establish context, connect with their teams, and begin contributing effectively. You will coordinate with Recruiting, Learning, People Ops, IT, Facilities, Finance, and regional partners to ensure each cohort has the access, equipment, environment, and support needed for a strong start. You will gather feedback from new hires, managers, and facilitators, then use it to continuously improve the content, operations, and experience of Engineering onboarding. What we look for You have 2–4 years of experience as a technical leader

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, highly available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Infra Foundations team owns the foundational layer that every other infrastructure team builds on: AWS account provisioning, human IAM access, core networking, the IaC frameworks and workflows, and the automation that provisions and manages our cloud environments. Our mission is to provide a foundational infrastructure layer across all AWS accounts that is consistent, reliable, safe, and trustworthy, empowering every infrastructure team to provision, update, and delete their stacks quickly and safely through well-established workflows and automation. We are looking for an engineering manager to lead this team, own its roadmap and operational health, and grow the engineers who keep Affirm's infrastructure foundation solid as we scale globally. What You’ll Do Define and drive the vision and multi-quarter roadmap, tying foundational investments to critical, business-impacting outcomes while protecting space for tech-debt reduction and reliability work Lead and mentor a team of infrastructure engineers, fostering a culture of ownership, collaboration, and technical excellence, and owning hiring, performance, and career growth Partner with engineering leadership and stakeholders to align Infra Foundations priorities with broader infrastructure, platform, and security goals Own the reliability and safety of the foundational layer: AWS account provisioning and bootstrapping,

About the Team OpenAI’s Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how our products and systems actually operate. Assurance Operations partners with Security, Engineering, Infrastructure, Product, Privacy, and Legal to make controls provable, risk decisions explicit, and audit readiness a result of well-designed systems. About the Role We are hiring a technical, product-minded GRC builder who can own consequential audits while improving the control and evidence systems behind them. You will build a reusable common control framework, use Codex to automate assurance work, validate changing system scope, and turn repeated audit friction into measurable improvements. We are looking for someone who questions inherited assumptions, solves novel problems creatively, works closely with engineers, and makes the next audit easier by improving the underlying system. You’ll be responsible for: Lead external, internal, customer, and certification audit work from scoping through evidence review, fieldwork, remediation, and closeout. Build a common control framework linking risk, control intent, implementation, owner, system, environment, evidence, and applicable frameworks. Validate actual scope and ownership instead of assuming last year's controls, product boundaries, or evidence remain accurate. Use Codex to build and test evidence checks, control mappings, request triage, owner workflows, monitoring, and remediation reporting. Partner with engineers on cloud architecture, identity, logging, data flows, software changes, vulnerabilities, and control effectiveness. Design maintainable, permission-aware tools that preserve source provenance, human review, and evidence integrity. Reduce repeated requests and operational burden for control owners through measurable workflow improvements. Define roadmaps, decision rights, milestones, success metrics, and clear cross-functional escalations. We’re looking for someone with: Direct ownership

P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based ou

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking an experienced Governance, Risk, and Compliance (GRC) Engineer to own and scale our security and AI governance compliance posture as SpaceXSI grows. You will set the standards the organization builds to, design and implement controls, and automate the unglamorous parts of compliance so a fast-moving team can ship safely. The ideal candidate combines deep fluency across modern security and AI frameworks with GRC engineering skills: you translate control requirements into technical implementations, partner with engineers to bake compliance into architecture and CI/CD, and replace point-in-time checklist work with continuous, engineered assurance. You will collaborate across engineering, legal, product, and leadership to keep our AI systems audit-ready across enterprise, commercial, and public-sector environments. This role may also include additional tasks and responsibilities as needed to support the team and evolving business priorities. RESPONSIBILITIES: Own and execute security compliance implementation and audits across core frameworks including SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, ISO 42001, and the EU AI Act, including control de

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role You will combine deep SaaS Partner/Channel GTM domain knowledge with experience defining decision-grade signals for partner-led selling, and partner with engineering to bring them to life as AI agents. In this role, you will identify where partner managers and channel leaders need real-time signals, and work with engineering to build and prioritize the roadmap for how AI-generated signals power partner-sourced decisions across the business. What You'll Do (Role Expectations) Partner with Partner/Channel and RevOps leadership to identify where partner managers rely on gut feel, and define signals (partner pipeline health, deal registration risk, co-sell opportunity, partner performance, next-best-action) that convert raw co-sell and partner data into decisions they can act on Own the signals repository covering business logic, inputs, owner, and status for every signal in the partner-sourced motion, as the single source

Who we are Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. Stripe Apps connect Stripe with the tools businesses already use, bringing relevant data and workflows into the Stripe Dashboard and third-party systems. The Strategic Apps team owns a portfolio of integrations with enterprise systems that are critical to our users’ workflows—from quote-to-cash and support to reporting. We help users embed Stripe more deeply into the way they run their businesses. What you’ll do We’re looking for a Staff Product Manager to set the strategy and lead execution for Strategic Apps. You will own a portfolio of existing and new integrations, including those with systems such as Salesforce, and determine where Stripe should invest based on user needs, Stripe’s product and industry priorities, and market signals. You will work across Stripe and directly with external partners to deliver reliable, high-quality integrations that drive adoption and business outcomes. Own the vision, product strategy, roadmap, and success metrics for a portfolio of strategic apps, making and communicating clear trade-offs amid significant ambiguity. Identify, prioritize, and validate the highest-value user problems and integration opportunities through direct user research, ecosystem analysis, and quantitative evidence. Lead cross-functional teams across Engineering, Design, Data Science, Finance, Sales, User Support, Marketing, Partner Management, and other product teams to deliver and evolve integrations end to end. Partner with Engineering to define product requirements, technical approach, and quality standards for integrations, including APIs, documentation, edge cases, reliability, security, compliance, and ongoing maintenance. Establish feedback loops

Principal Consultant – Data Transformation & Technical Program Delivery Location: McLean, VA | Practice Area: Technology & Engineering | Type: Permanent Bring together data, technology, and transformation leadership to deliver complex programs that create meaningful outcomes for financial services clients. The Role As a Principal Consultant in Capco’s Technology & Engineering practice, you’ll lead complex data and technology transformation initiatives for financial services clients, taking programs from planning through implementation. You’ll combine a strong technical foundation with transformation delivery leadership, working across data engineering, data platforms, governance, analytics, cloud, and related technology initiatives. You’ll partner with engineers, architects, product owners, and senior business and technology stakeholders to turn strategic objectives into executable plans and drive programs through to successful delivery. This is a role for someone who can engage credibly with technical teams, understand what is being built, challenge assumptions, and identify dependencies while remaining focused on leading transformation and getting complex programs delivered , rather than acting as the hands-on engineer or solution architect. What You’ll Do Lead complex data and technology transformation programs, coordinating multiple workstreams across data engineering, platforms, governance, analytics, cloud, and related initiatives from planning through implementation. Partner with engineers, architects, product owners, and business and technology stakeholders to translate strategic objectives into executable plans, resolve blockers, and maintain alignment across teams. Establish effective program governance and maintain visibility across scope, milestones, resources, dependencies, risks, decisions, and business outcomes, providing clear executive-level reporting. Apply your technical understanding of modern data environments to challenge delivery a

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Content-to-Discovery Platform team owns the end-to-end flywheel that turns raw content into the supply that our Pinners discover. As a Staff Product Manager on the team, you'll set direction across four connected pillars: acquisition of content and catalog data; processing, enrichment, and freshness; indexing for shopping and search; and retrieval and serving. You'll partner with engineering, data science, and product leaders across content, shopping, and search to acquire the right supply by category and domain, keep it fresh and accurate, index it with relevance built in, and serve it to the Pinner reliably, at scale, across markets. What you’ll do: Set and drive a multi-year strategy for the end-to-end content-to-discovery flywheel across acquisition, processing, indexing, and retrieval/serving. Own the roadmap for the infrastructu

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . What you’ll do: Be the technical lead for the forecasting team . Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale. Lead the full modeling lifecycle end to end : problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability. Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models. Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibi

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business. We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical fram

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About The Role We’re looking for a Technical Program Manager who can work across engineering, product, and business teams. You’ll bring the technical judgment to earn engineers’ trust and the ability to create clarity and momentum across complex programs. This is a hands-on role with executive visibility and direct impact on how Ramp’s engineering organization scales. You’re energized by complexity and curious about how AI can improve the way engineering teams work. You experiment with AI tools yourself, understand how they are changing software development, and bring that perspective to the programs you lead. What You’ll Do Lead large technical programs across engineering and partner teams, from infrastructure scaling to reliability and incident response. Connect platform and product engineering teams, keep context flowing, surface dependencies, and drive effective execution. Own programs from scoping and kickoff through delivery, measurement, and retrospective. Partner with engineering leaders on roadmaps, identify how projects overlap or depend o

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We are looking for a Technical Program Manager to lead Harvey's highest-priority company programs across the organization and technology stack. You will partner with engineering, product, and business leaders to turn ambiguous problems into clear plans and drive execution from scoping through launch and measurable impact. Your portfolio will evolve with company priorities, spanning areas such as AI infrastructure, developer productivity, and customer-facing products. You will go deep technically, align teams on tradeoffs and dependencies, and bring the right people together to deliver outcomes that no single team can achieve alone. What You'll Do Own end-to-end execution of critical company programs, working with engineering, product, and business leaders to define out

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re seeking a Senior Data Scientist to help us evaluate and improve the quality and performance of our AI systems. You’ll develop rigorous approaches to measuring system behavior, run experiments, investigate issues, and turn complex data into actionable decisions. This is a hands-on role at the intersection of data science, engineering, and applied AI. You’ll work directly with production data and systems and partner closely with Engineering, Product, and Analytics. Responsibilites AI Evaluation: Develop quantitative methods and tooling to evaluate AI system quality and performance. Experimentation: Design and run experiments to compare approaches, understand tradeoffs, and measure the impact of changes. Quality Monitoring: Build repeatable processes to identify regressions, anomalies, and changes in system performance. Data Analysis: Extract, transform, and analyze production data to support technical and product investigations. Technical Investigation: Diagnose complex issues involving data, models, and production systems, identifying root causes and potential solutions. Measurement & Instrumentation: Partner with Engineering to improve how system quality, reliability, and performance are measured. Internal Tooling: Build tools and dashboards that make system performance easier to understand and monitor. Communication: Clearly communicate findings,