Technical Partner Manager Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Solutions Architect on the Sales, Trading and Prime team, you'll help scale our B2B products by bridging technical field engagement with hands-on software development. You'll work directly with customers, from startups to large institutions, as a trusted technical advisor while contributing to open source projects and extending Coinbase's core products to unlock strategic client opportunities. This role involves substantial coding, and candidates must be actively developing and delivering software in their current role. What you’ll do: Partner with customers as a trusted technical advisor, guiding them in building on Coinbase services and APIs and deepening relationships as they scale. Collaborate with sales teams to address prospect technical requirements and support deal closure. Architect distributed systems solutions for complex customer needs and build open source SDKs and reference implementations. Lead customer implementations end-to-end, delivering technical presentations, resolving roadblocks, and partnering with support teams to ensure success. Drive collaboration with product and engineering teams to extend core capabilities for strategic client opportunities. Required skills and experience: Degree in computer science and 3+ years of software engineering experience, including expert-level proficiency with REST and WebSocket APIs and production experie

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior IT Support Engineer on the IT Tooling team within IT Support & Services (ITSS), you'll own the technical architecture behind the automations that power IT operations at Coinbase. This team builds the self-service workflows, bots, and integrations that employees interact with daily, from ticket triage and access reviews to onboarding and offboarding. You'll drive architecture decisions across platforms like n8n, Airflow, Temporal, Jira, and Okta, partnering with regional IT teams across APAC, EMEA, and AMER to deliver high-impact automation at scale. What you’ll do: Own the technical architecture of IT Tooling automations, driving design decisions on system structure, integration patterns, and platform standards across n8n, Airflow, Temporal, and Jira Lead the most complex automation projects end-to-end as technical DRI, from discovery and design through production delivery Partner with Security, Corporate Engineering, and IAM teams to resolve technical blockers and represent IT Tooling in cross-functional architecture discussions Build shared frameworks, reusable components, and architecture documentation that reduce single points of failure and raise the team's engineering bar Establish code review practices and engineering standards that elevate quality across the IT Tooling platform Required skills and experience: 5+ years in IT engineering,

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 is looking to hire a motivated Specialist to join our Finance Transformation Team. As a key member of the Office of Finance Transformation, you will partner closely with finance SMEs to analyze and document how things work today and then standardize, redesign, and optimize cross-functional finance processes for tomorrow. You’ll apply your finance and accounting experience—and your strong instincts for how processes should work—to drive efficiency and performance through automation, smarter tools and technology, and better workflows, while ensuring that our processes are measurable and scalable. This is a hands-on role where you’ll be expected to dig in, build things, and make a real impact in shaping our Finance org for the future. This role offers exceptional opportunities for professional growth . You’ll gain exposure to a wide range of finance processes, systems, and cross-functional stakeholders. We’re committed to cross-training on tools and technical skills to support your long-term development. This is a high-visibility, high-learning role where you’ll make a meaningful impact on how finance operates at scale. This role is right for you if you are Someone who gets things done—you don’t just document a problem, you build the solution Comfortable rolling up your sleeves: equally at home in a process walkthrough and building a working solution in a spreadsheet, BI tool, or automation platform Forward-thinking and tech-curious, with a mindset of continuous improvement Able to bridge business needs with technical solutions Naturally collaborative, with a strong sense of ownership and follow-through Excited by the opportunity to reimagine finance in a digital-first world Responsibilities: We’re looking for someone who brings curiosity, initiative, and a bias toward action. In this role, you’ll

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. Data and analytics are at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to support our Self-Serve segment — the fastest-growing part of Lyft's B2B portfolio, serving small and mid-size businesses across North America. This is a hands-on role for an analyst who is energized by turning product and customer data into insights that shape strategy — and who builds those insights on a foundation others can trust and reuse. You will be the dedicated analytical partner to the Self-Serve product team, measuring how new features — a redesigned signup experience, onboarding improvements, and lifecycle campaigns — drive customer activation and growth. You'll own the funnel from acquisition through engagement, define the metrics that matter, and deliver the insights that inform where the business invests next. The ideal candidate pairs analytical rigor with a builder's instinct — turning recurring questions into well-defined, reusable datasets instead of one-off answers — and can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Produce high-impact analyses on Self-Serve performance that directly inform product and go-to-market strategy Own the Self-Serve funnel — acquisition, signup, onboarding, and engagement — building the dashboards and datasets that give the team real-time visibility into product health Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Partner closely with Product and Engineering to validate instrumentation and surface data gaps before they distort the funnel or new features launch — catching the data quality issues that stay invisible until someone goes looking Turn recurring reporting into w

Who we are About Stripe 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, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

Who we are About Stripe 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, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth product, regional and demand marketing, and sales to drive revenue through self-serve and sales motions. The SEO & AEO function specifically drives organic discovery ensuring Stripe is found, cited, and recommended when developers, founders, and finance leaders are searching for or asking about payments, financial infrastructure, and related topics. What you’ll do This role owns one of the most strategically important and evolving acquisition channels at Stripe. Organic search is already one of our largest and most efficient growth channels and the emergence of AI-powered answer engines represents a once-in-a-generation shift in how businesses discover software. The role requires someone who can operate at the intersection of content, product, engineering, and data and who can credibly engage with Stripe's executive team on the strategic importance of organic visibility. This is a rare opportunity to define what AEO means for a company like Stripe and to build the playbook that others will follow. Responsibilities Own the organic growth strategy end-to-end across SEO and AEO (Answer Engine Optimization), including technical optimizations, content strategy, on-site experience, and visibility in general purpose assistants (ChatGPT, Google AI Overviews, Gemini, Perplexity, etc.) and coding assistants (e.g. Claude,

Who we are About Stripe 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, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our finance team is responsible for shaping our understanding of how Stripe is performing as a business, as well as what our best opportunities are for continued growth. We're looking for an experienced financial controller to join our International Accounting team. As a key part of our controllership team in Dublin, you will help us build our technical accounting and financial reporting processes, work with business partners, financial partners, external stakeholders, and our engineers. You will help us develop best-in-class accounting processes and help track our progress within a fast-paced environment that's growing globally. What you'll do As our International Accounting Lead, you will own the end-to-end financial close and statutory reporting processes for our international entities, while leading and developing a high-performing controllership team. You will serve as a technical accounting authority and strategic partner to cross-functional teams across Tax, Treasury, Finance, and Legal. Responsibilities Lead the end-to-end monthly close of US GAAP books, ensuring accuracy, compliance, and timeliness Oversee the preparation and submission of comprehensive regulatory and financial reporting deliverables Lead financial statement preparation, audit support, and technical documentation, including presentations to the Board of Directors Proactively monitor and adapt to changes in global accounting and tax regulations to maintain compli

Who we are About Stripe 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, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to: Developing models to predict resource needs as Stripe demand increases; Working closely with engineers to improve the cost and performance of platforms and services; Employing quantitative methods to drive and automate fleet decisions. You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows. What you'll do As a Data Scientist, your role will involve: Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning. Developing models and strategies for efficient compute resource consumption and provisioning. Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions. Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability. Utilizing your analytical expertise to influence both technical and financial strategies within Stripe. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements,

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Summary The AI/ML Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview. Key Responsibilities and Scope Technical Leadership & Solutioning Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajor

Contact Address: 30 N Gould St, Ste R, Sheridan, WY 82801 Phone: 307-443-5690 Website URL: https://innerluxes.dev Business Email: [email protected] About US INNERLUXES is a full-service software consulting and development company dedicated to helping businesses build modern, scalable, and high-performing digital products. We partner with startups, growing companies, and enterprises to design, develop, deploy, and maintain custom software solutions that solve real business challenges and accelerate growth. Our expertise covers SaaS product development, custom software engineering, web development, mobile app development, AI-powered applications, UI/UX design, cloud infrastructure, DevOps, business automation, and enterprise solutions. We are also one of the few companies worldwide with in-house Chromium expertise, building custom browsers and secure browser-based products for demanding teams. Every project is delivered by senior engineers who follow a structured development process with transparent communication, written project scopes, regular progress updates, and clean, maintainable code. Whether you are launching a new SaaS platform, modernizing legacy software, integrating AI into your workflows, or building custom business applications, INNERLUXES provides end-to-end services tailored to your goals, with performance, security, and scalability engineered in from day one. Having delivered 2,800+ projects across 30+ industries, INNERLUXES combines deep technical expertise with business-focused thinking to create software that improves efficiency, enhances customer experiences, and drives measurable results. Our teams serve healthcare, finance, retail, manufacturing, real estate, logistics, and many other industries, adapting every solution to the regulations and workflows of your market. From initial discovery and product strategy to deployment and ongoing maintenance, we act as a long-term technology partner committed to your success. Related Searches Sof

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurab

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable

About the Team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and mea

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale APIs for image generation, speech transcription, speech generation, and low-latency voice interactions. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: Design, build, and ship developer-facing APIs and backend services that serve frontier models. Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. Own the availability, latency, scalability, and cost efficiency of the services you build. Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed syste