Senior Manager System Engineering Jobs

We are seeking a highly technical and strategic Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. NVIDIA is seeking a senior Developer Relations leader to accelerate the integration of NVIDIA technologies across the Energy & Utilities ecosystem in EMEA. This role will focus primarily on the electric power and utilities industry , working with leading software vendors, technology partners, utilities, engineering companies, and energy infrastructure providers to help integrate NVIDIA accelerated computing, AI, simulation, digital twin, and edge technologies into industry software platforms and solutions. The ideal candidate combines strong energy industry domain expertise , technical depth, partner engagement experience, and the ability to identify and develop strategic opportunities with Independent Software Vendors (ISVs). Approximately 80% of the role will focus on utilities, electrical power systems, grid software and related ISVs , with approximately 20% supporting Oil & Gas and adjacent energy applications . What You'll

TPMs at Datadog see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion. Technical Program Management at Datadog operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move Datadog's most important work forward. We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What We Expect: These are the expectations we hold for every TPM at Datadog. Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower. Build the systems that reduce the need for coordination Identify what matters before anyone asks, and automate the rest Engineer program lifecycles end-to-end See what no single team can see and own the solution Drive the company's most technically complex and consequential bets through cross-functional agreement, organizational visibility, and influence Build AI powered automation tools and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic

Coder is looking for a Senior Staff Product Manager to lead our product management function and raise the bar for how we build. You will develop PMs, strengthen product execution, and help turn strategy into measurable outcomes for customers and teams. You will manage a small team of product managers while partnering closely with Engineering, Design, GTM, and executive leadership. You will coach people, improve systems, and keep product decisions grounded in real customer evidence. What you’ll do here Coach and develop product managers at every stage, helping strong executors grow into strategic leaders. Set a high bar for product discovery, planning, execution, and measurement. Partner with Engineering, Design, Customer Success, Sales, and Marketing to align priorities and deliver outcomes. Create clarity around product priorities, tradeoffs, and investment decisions. Build a culture of ownership, accountability, authority, and autonomy across the product organization. Lead customer discovery and ensure product decisions are grounded in objective evidence, not assumptions. Improve how the product organization operates, including planning, roadmap development, product reviews, and decision-making frameworks. Serve as a senior product leader and trusted partner to executive leadership. What we’re looking for Significant product management experience, including experience leading or managing product managers. A strong track record of coaching and developing PM talent. Excellent customer discovery and validation skills, including interviews that uncover objective insights and real customer needs. Sound judgment and pragmatism. You know when to optimize for outcomes, when to improve process, and how to balance strategy with execution. A strong sense of ownership and accountability, with the ability to build those qualities across a team. Clear communication skills and the ability to influence across functions, levels, and priorities. Experience operating in fast-moving

The team + the role Pendo's Data & GTM Intelligence org exists to make the revenue organization faster, smarter, and more effective. We sit at the intersection of data, AI, and GTM execution. We hold ourselves accountable to whether the teams we support are getting measurable, lasting value from our work. This role owns the operational foundation for Pendo's Customer Engineering organization: process design, planning cycles, and strategic partnership with CE leadership. You stay close to the business - deeply embedded in the CE org, with a point of view on where process, data, or AI could unlock better outcomes. You also serve as the CE pod lead, the coordination point for Applied AI, Business Systems, and Data work that touches your function. You operate with significant autonomy. You identify what is broken, design the solution, and bring stakeholders along. The best person for this role has strong customer success and sales engineering domain knowledge, sharp analytical instincts, and genuine enthusiasm for rebuilding operations around AI. What this looks like day-to-day Own core CE operational work: book-of-business design, territory assignments, capacity planning, and quota framework support. Design, document, and improve CE processes end-to-end including onboarding handoff workflows, renewal and expansion pipeline governance, risk escalation protocols, and success plan hygiene. Partner with Analytics to translate data into clear, actionable recommendations for CE leadership. Serve as the coordination point between CE and the Business Operations functions (Applied AI, Data, Systems). Understand where CE teams are running into friction - where they are losing time, where the data is wrong, where process gaps are costing renewals. Identify where manual work is slowing CEs down and bring a clear point of view to Applied AI on where automation or AI would have the most impact. Maintain Salesforce data standards for CE: define what good looks l

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

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 As the founding Channel Partner Manager for Canada, you will build the partner motion that helps Canadian businesses discover, evaluate, and adopt Ramp through trusted advisors and ecosystem partners. This is a zero-to-one role. You will own the full partner lifecycle, from identifying and engaging Canadian accounting, advisory, private equity, and venture capital partners through signing, enablement, activation, and partner-sourced pipeline. Your early results will help determine how Ramp scales its Canadian channel motion. You will work closely with Sales, Growth, Product, Engineering, and the broader Partnerships organization. The right person is a hands-on builder: equally comfortable opening a new relationship, running a partner meeting, solving an operational blocker, and turning early learnings into a repeatable playbook. What You’ll Do Build Ramp’s Canadian channel strategy and operating rhythm from the ground up. Research, identify, source, qualify and sign net-new Canadian partners. Create joint go-to-market and activation p

About the Role Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads. This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine. You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires: Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs Working closely with customers and open source users to draw the subtle line between growth and commercialization Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value. Thinking deeply about and clearly articulating the product strategy to stakeholders Key Responsibilities Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling. Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation. Customer engagement - Drive key customer engagements assisting sales and field engineering teams. Required Qualifications 4+ years of product management experience with technical products Strong technical background in distributed systems, ML infrastructure, or data processing Experience working

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 Ramp’s Franchise Channel is seeing rapid growth, and as an early member of the team, you’ll have the opportunity to help scale the go-to-market engine and strategy that fuels a key growth driver for the company. At Ramp, we are looking for candidates with a proven track record of acquiring and building net new relationships with corporate and franchise partners, enabling and onboarding their businesses, and achieving consistent quota attainment and overachievement through strategic relationship development. What You’ll Do Source, qualify and conduct deep discovery with net new Franchise partners Sign partners and create comprehensive GTM plans Drive revenue for Ramp through generating referrals from franchisors and franchisees Identify and build relationships with multiple stakeholders within an organization Educate partners on Ramp’s offering and articulate the value props Hold monthly and quarterly business reviews with key partners Work cross-functionally across marketing, growth, direct sales, and product & engineering to driv

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 Ramp is building out its partner ecosystem, and the Technology Partnerships team sits at the intersection of product, sales, engineering, and our growing network of third-party platforms. As a Channel Partner Manager, you'll turn Ramp's developer platform and embedded finance capabilities into scalable, revenue-generating partnerships with ISVs, embedded finance partners, and strategic tech platforms. You won't just help integrations launch; you'll make them a repeatable engine of partner-driven growth. You will be expected to source and shape partner opportunities, pitch and close co-build and co-sell agreements, own commercial success metrics, and orchestrate Ramp's internal teams and external partner teams toward meaningful activation and revenue. What You'll Do Identify, prioritize, and close high-value ISV and embedded partner opportunities where Ramp can drive meaningful TPV, activation, and revenue Pitch, negotiate, and close co-build and co-sell agreements with third-party platforms, ISVs, and strategic partners Collaborate cr

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 Ramp is building new products that can reshape how finance teams operate. These products begin before the market playbook is obvious: the customer problem is still being sharpened, the product is evolving quickly, and the path from early signal to durable growth must be built. We are hiring a Product Marketing Manager, New Products to lead that work. You will be embedded with Product and Engineering from the earliest stages, using customer and market insight to help choose the audience, shape the product, define the story, and build the commercialization and adoption motion. This is not a launch-calendar or asset-production role. You will own the full business read for the product: customer problem, ICP, positioning, product readiness, launch, pipeline, activation, adoption, retention, proof, and the next product or GTM intervention. What you'll do Shape product strategy early. Bring customer, market, and competitive evidence into product decisions before the roadmap is fixed. Help the team identify the wedge, target segment, table st

Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers. These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth. If shaping the future of data-as-a-product excites you, then this opportunity is for you. As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company. You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI. These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster. In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals. By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience. The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio. This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region. Responsibilities Lead Product Strategy and Ownership Define product vision, stra

About the Team The User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role OpenAI’s top-of-funnel is evolving into a signal-driven, data-orchestrated engine powered by AI-native workflows, enriched customer intelligence, and increasingly interconnected systems. We are looking for a Technical Systems Program Manager to help drive the strategy, alignment, prioritization, and execution of these systems across Salesforce and adjacent platforms. This role will partner closely with Engineering, Revenue Operations, Data, and Enterprise Platform teams to operationalize scalable CRM workflows. The ideal candidate combines strong technical fluency, operational systems thinking, and stakeholder leadership with the ability to drive execution across highly cross-functional environments. This role is based in San Francisco, CA, and the team works a hybrid schedule (Monday - Wednesday in office). We will offer relocation assistance if needed. In this role, you will: Own and drive CRM systems initiatives across support Partner with senior business stakeholders and engineering teams to identify operational pain points, define scalable solutions, evaluate technical tradeoffs, and execute across Salesforce and adjacent platforms Align cross-functional stakeholders including Revenue Operations, Support Delivery, Risk, Engineering, Data, Legal, and Enterprise Platform teams while driving prioritization and execution Help operationalize AI-native workflows by defining and building s

Coder is looking for an experienced Senior Technical Program Manager to lead and shape our most complex, high-stakes engineering programs. You'll operate with a high degree of autonomy, setting the standard for program execution across the organization and acting as a trusted partner to senior engineering and product leadership. The role sits at the intersection of strategy and execution: you'll own the definition, cross-functional planning, and delivery of initiatives that span multiple teams and systems, and give leadership the visibility they need to steer. What you'll do here Own engineering programs end to end, from definition through delivery and iteration, across teams that don't report to one another Own scope, milestones, timelines, dependencies, and risk, driving trade-offs to a written decision and holding accountability for delivery Work hands-on with engineers and product managers, close enough to the work to influence architectural and interface decisions Serve as the central coordination point across engineering, product, design, security, and go-to-market Run the operating cadence and deliver crisp updates on program health, risks, and trade-offs to technical, executive, and customer stakeholders Improve engineering productivity through better tooling and light-weight process, including AI-native tooling and our own product What we're looking for 7+ years in technical program management, including complex multi-team programs where no single team owned the whole outcome Deep technical intuition—you can read a design doc, ask the question that exposes the unstated assumption, and argue sequencing with a staff engineer A track record of delivering at scale, including ownership of a dated external commitment such as a GA, a launch, or a regulated enterprise deadline Strong organizational influence; you set the agenda with minimal oversight and move teams that don't report to you, without being slowed down by ambiguity or competing priorities Excellent ve