Solution Engineering Jobs

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an Account Executive, Mid-Market who will play a critical role in driving sales and maximizing revenue with our customers. You will be responsible for targeting, building and nurturing positive relationships with key decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners at Figma. This is a full time role in our London office within a hybrid environment. What you'll do at Figma: Create and manage a pipeline of Mid-Market accounts from inbound and outbound activity to consistently meet or surpass sales targets Apply effective discovery and value-selling techniques to build and strengthen relationships with key decision-makers in both new and existing customers (500-5000 FTEs) Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Conduct thorough analysis to create account plans that outline company priorities and initiatives, multi-threading at senior level to build on expansion opportunities Manage a book of business by tiering accounts and initiating techniques to save contractions Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to adva

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 Prime Sales Trader on the Institutional Prime Trading team, you'll help grow one of Coinbase's most strategically important businesses by delivering best-in-class execution and liquidity solutions to the world's most sophisticated institutional clients. Our clients include asset managers, hedge funds, VCs, family offices, pensions, and endowments across both crypto-native and traditional finance. You'll drive trading volume, deepen counterparty relationships, and shape how institutional clients experience Coinbase's execution services across spot and derivatives markets. What you'll do: Drive increased trading volume by understanding clients' liquidity needs, proactively identifying how high-touch and low-touch execution services can meet those needs, and providing real-time support for execution and market color. Build and maintain trusted counterparty relationships through quality execution, daily market updates on liquidity and flow thematics, and consistent, high-quality service delivery. Partner with Sales, Financing, and Account Management teams to identify, onboard, and monetize new client relationships, proactively surfacing business opportunities across Coinbase's institutional product suite. Provide structured feedback from clients and the broader marketplace to institutional Product Managers, guiding new product development across spot trading and fin

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role The Business Development Desk is a proactive outbound sales team responsible for general asset gathering and migrating customers into our Concierge program through consolidation of assets. This team serves as brand ambassadors, education and creating awareness of all the available products and solutions available that would help the customer reach their financial goals. The team works closely with all of our customer facing teams to ensure a truly white glove/Concierge experience through the onboarding process. In this role, you will lead a team responsible for growing assets and expanding customer relationships here at Robinhood.. As a Manager of Business Development, you will lead, coach, and develop a team of Onboarding Specialists who support customers throughout their onboarding journey while also exploring any additional opportunities to consolidate/win more share of wallet. You will oversee and enhance sales pipelines, review opportunities worked for Compliance and Oversight and coaching to overall sales process and customer experience. You will be responsible for driving team strategy, establishing operating efficiency, and driving asset growth through pipeline management and ongoing coaching and development of sales agents. In addition to developing your team, you will partner closely with product, compliance, legal, and external service providers to evolve the Business Development Desk offering, expand pipelines of opportunities and ensure all customer interactions meet all regulatory standards including RegBI and telemarketing compliance. This is a highly cross-functional leadership role where you

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. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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 connects people to transportation, changing the way we live and move within our communities. The Lyft Business team partners with organizations across various industries, enabling them to provide the world’s best transportation solutions—ranging from business travel and employee commute to courtesy rides for customers and clients. Lyft is looking for a Business Strategy Manager to accelerate the growth of Lyft Business in new and existing markets, and shape our role in partnering with organizations to deliver tailored transportation solutions. This role is both analytical and strategic, requiring a forward-thinking mindset to tackle complex business problems. You will work collaboratively across the Lyft Business organization, as well as with cross-functional teams, making it crucial to build consensus and support to achieve segment-level goals. You are a good fit if you are a self-starter with B2B strategy experience. An analytical mind and skill set are critical; the role requires understanding how to parse and frame data to guide our strategic direction. You must be forever curious and ready to join a high performing team with big goals. Responsibilities: Identify new use cases and market segments to define the next generation of B2B transportation solutions, positioning Lyft Business for long-term, durable growth Develop comprehensive business cases, including market sizing, competitive analysis, financial forecasting, and risk assessments Monitor key industry trends and competitive landscape to ensure Lyft Business remains at the forefront of the market Source and develop B2B partnerships end-to-end - from opportunity assessment and commercial model through cross-functional launch - to open new growth channels for Lyft Business Analyze key business metrics and performance indicators u

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 connects people to transportation, changing the way we live and move within our communities. The Lyft Business team partners with organizations across various industries, enabling them to provide the world’s best transportation solutions—ranging from business travel and employee commute to courtesy rides for customers and clients. Lyft is looking for a Business Strategy Manager to accelerate the growth of Lyft Business in new and existing markets, and shape our role in partnering with organizations to deliver tailored transportation solutions. This role is both analytical and strategic, requiring a forward-thinking mindset to tackle complex business problems. You will work collaboratively across the Lyft Business organization, as well as with cross-functional teams, making it crucial to build consensus and support to achieve segment-level goals. You are a good fit if you are a self-starter with B2B strategy experience. An analytical mind and skill set are critical; the role requires understanding how to parse and frame data to guide our strategic direction. You must be forever curious and ready to join a high performing team with big goals. Responsibilities: Identify new use cases and market segments to define the next generation of B2B transportation solutions, positioning Lyft Business for long-term, durable growth Develop comprehensive business cases, including market sizing, competitive analysis, financial forecasting, and risk assessments Monitor key industry trends and competitive landscape to ensure Lyft Business remains at the forefront of the market Source and develop B2B partnerships end-to-end - from opportunity assessment and commercial model through cross-functional launch - to open new growth channels for Lyft Business Analyze key business metrics and performance indicators u

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. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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 Media is extending the value of Lyft's first-party rider data beyond our owned-and-operated surfaces. Through our Audience Solutions business, agencies and brands activate Lyft audiences across the open web, CTV, social, and DSPs — powered by one of the most distinctive mobility datasets in the US. We're hiring an Account Executive to grow this business across agency and holding company accounts. Responsibilities: Own a book of agency and holdco accounts — prospect, pitch, negotiate, and close data licensing and off-platform audience activation deals (Lyft audiences syndicated to DSPs, SSPs, and partner platforms — not Lyft-owned inventory) Build relationships across investment, planning, data strategy, and programmatic trading desks at major holdcos (GroupM, Omnicom Media Group, Publicis Media, IPG, Dentsu, Horizon, Stagwell, etc.) Hit and exceed quarterly revenue targets Translate Lyft's first-party mobility data into briefs that win RFPs — audience segments, geo/movement signals, and measurement use cases Partner with Account Management, Data Partnerships, and Product to ensure clean activation, attribution, and renewal Maintain accurate pipeline hygiene in Salesforce and forecast with discipline Experience: 3–5 years of digital media or data sales experience, with meaningful exposure to programmatic (PMP, PG, open exchange) and/or agency holdco accounts Track record of closing and growing agency business Comfortable with the alphabet soup: DSPs (DV360, TTD, Yahoo), SSPs, data clean rooms (LiveRamp, Habu, AWS), IDFA/MAID/postal-code targeting, MMM and incrementality conversations Strong written and verbal communication; can build a deck and run a meeting Hungry, organized, and coachable Preferred: Direct experience selling audience data, data licensing, or off-platform activation (ex-LiveRamp

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. Our team is dedicated to creating a seamless and secure experience for our riders and drivers, ensuring their identity and data are protected at all times. As a Senior Product Designer, you'll lead the design of solutions that help drivers understand their earnings and get paid securely while protecting our communities from fraud. You will work closely with cross-functional teams, including product managers, designers, engineers, and data scientists, to create intuitive and effective designs on driver payments and complex security challenges. You’ll advocate for a customer-centric approach and thrive in a dynamic, fast-paced environment. From initial ideation through to launch, you'll support projects with interaction, visual, and product thinking skills, helping to define and deliver impactful experiences for our Payment, Identity and Integrity teams. The Opportunity Design features that help drivers understand their earnings, access their pay, and resolve payment issues efficiently Lead end-to-end design for driver earnings and identity verification experiences, from research and ideation through execution Play a critical role in designing solutions that protect our users and enhance their trust in our platform Collaborate with cross-functional partners to design intuitive and effective designs that address unique rideshare driver, identity and fraud challenges Responsibilities: Problem solve, think big, and explore divergent concepts/ideas while understanding how to converge and build iteratively towards your vision. Influence the shape of the product with research and data while executing design work using high quality wireframes, mockups, user journeys, and cross-platform interactive prototypes. Advocate for design by sharing your work and presenting cross-functionally, while being able to

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

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. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see th

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. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintaina

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 Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B