Senior Product Designer in United States

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Developer Experience team is growing in San Francisco! This is a hybrid role out of our main headquarters and must be based there. We’re looking for a hands-on builder with strong opinions on great developer docs. Are you someone who loves tinkering with the newest features in your favorite products? Do you enjoy taking the next random JavaScript framework for a spin and figuring out how to make them tick? Does it especially irk you when the code snippets are wrong, or the only docs for a feature are on X? Developer Experience at Sentry lives in the intersection of shipping really cool products and getting developers set up to use them. If you’re someone who is confident in partnering with Product and Engineering to test and ship the latest features, not afraid to jump in and go hands-on to solve problems for our biggest customers, and a good eye for what good docs looks like - this is a dream role. Developer Experience at Sentry is a team of builders who are constantly looking for ways to make it easier for every developer to use Sentry. We engage with the challenges facing technical communities, to support developers, gather feedback, and help our product and engineering teams ship new capabilities. An engineer in this role should be confident to “come with an answer," propose the product solutions, identify the content and/or execution plans and people to partner with, and go execute. In this role you will Attend and even host events and meetups in the developer community Have a point of view and aren’t shy about expressing it. You get your energy from both knowing the latest trends and having a POV on

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Senior Technical Account Manager (TAM) to act as a strategic partner and trusted advisor to our customers, blending strong relationship management with a deep understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, supporting long-term growth, adoption, and measurable business outcomes. TAMs own the complete post-sales customer lifecycle, from initial implementation and onboarding through ongoing managed services, strategic expansion opportunities, and driving meaningful impact on renewal outcomes across their book of business. This role requires an AI-native professional who actively leverages generative and agentic AI in their day-to-day work, bringing firsthand expertise to help customers unlock the full potential of intelligent automation. TAMs lead with a customer-first mindset, developing success plans, guiding onboarding and adoption, and ensuring stakeholders see continuous value throughout their lifecycle. While you’ll support technical initiatives like process optimization, workflow design, and AI enablement, you’ll also own the overall health, engagement, and strategic direction of your accounts. You’ll work cross-functionally with Sales, Product, and Support to align efforts and ensure each customer’s success story is long-term, scalable, and impactful. Technical Account Managers (TAMs) are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: Customer Enablement & Onboarding: Guiding new tea

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview You'll own and evolve the AI systems behind ClickUp's voice platform: real-time streaming transcription, intelligent reformatting, context-aware mention detection, and voice-to-action pipelines. This is a high-impact, hands-on role where you'll push the boundaries of what voice interfaces can do inside a productivity tool used by millions. Key Responsibilities Design, build, and optimize real-time speech-to-text pipelines (streaming ASR, VAD, audio processing) Improve transcription accuracy through context injection (user names, teams, custom vocabulary, language detection) Develop and maintain LLM-powered post-processing (grammar correction, filler removal, mention resolution, formatting) Build voice-to-action systems that parse natural language into structured workspace commands Evaluate, benchmark, and integrate ASR models (Whisper, AssemblyAI, Fireworks, etc.) for cost, latency, and accuracy Collaborate with product and platform teams to ship voice features across MAX Desktop, Mobile, Web, and Browser Extension Explore multimodal AI capabilities (screen + voice + text) for next-gen assistant experiences Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. If you are a Philippine Job Applicant, please also see our Phi

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI team, you’ll be directly responsible for developing the platform used by our debugging agents. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring. Your work will help companies around the globe gain actionable insights into their software, enabling them to build better products, faster. In this role you will Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own the development of major initiatives in the AI/ML space You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications Minimum 5+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field Demonstrated expertise building production-grade agentic systems and tools You are comfortable writing production quality code (we use Python and Typescript) Familiarity with deep learning frameworks (we use PyTorch) Familiarity in deploying machine learning models at scale in production environments The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for building the evaluation infrastructure that measures the accuracy, reliability, and real-world performance of our AI systems. This role is critical to ensuring that our debugging agents and AI-powered features behave correctly, safely, and predictably as they scale. You’ll design datasets, benchmarks, and test harnesses that turn ambiguous AI behavior into measurable signals, helping the team ship AI with confidence. In this role you will Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring You’ll love this job if you Care deeply about correctness, rigor, and measurement in AI systems Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team Thrive in cross-functional environments and enjoy influencing model design through better evaluation Qualifications Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learni

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 We’re looking for a Senior Applied Scientist to help drive the future of credit applied science at Ramp. In this role, you will design, build, and optimize the models that power our credit risk systems, helping us make faster, smarter, and more scalable risk decisions for our customers. You’ll work at the intersection of machine learning, statistics, economics, and product strategy. This role requires strong technical depth as well as close collaboration with business, product, data, and engineering partners. You will help identify high-impact opportunities, translate ambiguous business problems into rigorous modeling work, and ship models that operate reliably in production. Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of machine learning, causal inference, structural modeling, and optimization. What You'll Do Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp Own the

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 Senior Manager, Deal Desk to own and evolve one of Ramp's most strategic go-to-market functions. You'll sit at the center of our commercial engine—partnering closely with Sales, Finance, Legal, Product, Revenue Operations, and Billing to help structure, approve, and execute Ramp's most important deals. This is a highly cross-functional leadership role where you'll balance commercial creativity with operational rigor. You'll help Sales win competitive opportunities while protecting pricing discipline, improving scalability, and ensuring an exceptional customer experience. You'll own the operating model that governs how Ramp structures, approves, and executes commercial deals as we continue to scale. This is a unique opportunity for an experienced Deal Desk leader who wants to own a function and shape the operating model behind one of the fastest-growing fintech companies. What You'll Do Lead and develop a small Deal Desk team while remaining a hands-on operator, supporting Ramp's most strategic and complex commercia

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 Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the role/team: We are hiring an experienced Enterprise Account Executive to support our growth into F500 and G2000 customers! Reporting directly into the Head of Global Sales, this person will play a critical role in the growth of Pinecone as we expand the power of knowledge retrieval and AI infrastructure for Agentic use cases across the world’s largest organizations. Responsibilities: Owning a territory and quota of large Enterprises that you will prospect and break into to secure POCs and committed contractual relationships with. Managing inbound leads through the BDR, PLG, and MQL channels Lead all sales related activities through the various stages of the buying journey; in accordance to Pinecone’s defined sales process Selling and winning against our competitors Ensuring the customer is deployed successful and positioned for expansion Partnering cross-functionally with Sales Engineering, Forward Deployed Engineering, Product, Engineering, Finance, and Marketing Successful Pinecone Account Executives have a high degree of technical knowledge, and are comfortable selling into developers and engineering leaders. They are excited about working in a startup environment, comfortable with ambiguity, and ready to build an amazing business that will change the infrastructure landscape. Requirements: Experience in the infrastructure, data software, and genAI space is preferred Experience selling to developers and engineering leaders is a must Candidates should have a minimum 5-7 years experience as an E

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 Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth. What You'll Do Build and own detailed financial and operational models with the highest quality and accuracy Use data to influence key strategic decisions across Product, GTM, and business leadership Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders Partner closely with business leaders to translate strategy into execution and drive accountability Help run bi-annual budgeting and headcount planning cycles Manage com

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Role Summary Replit is the world's most widely used AI coding platform, and as we scale, we're rebuilding how compensation works internally from the ground up. This role owns that. You'll go beyond traditional comp management to architect the systems, data infrastructure, and AI-enabled workflows that make fast, consistent, and high-quality compensation decisions possible at scale. You will serve as the architect of our compensation engine: translating compensation philosophy into scalable systems, and leveraging data, automation, and AI to improve speed, accuracy, and transparency. This role sits at the intersection of compensation, product, and systems design. You will partner closely with People Business Partners, Recruiting, Finance, People Operations, and the Data team to embed compensation directly into company workflows—eliminating manual processes and reducing reliance on comp as a service layer. You will shape how we attract, reward, and retain top talent, while building infrastructure that scales with the business. What you'll own Compensation Strategy Evolve our compensation philosophy across cash and equity; design and maintain salary bands, leveling frameworks, and equity structures Ensure market competitiveness while partnering with Finance on cost and workforce planning AI-Native Workflows Design and implement AI-enabled workflows for offers, merit, promotions, and market adjustments Build human-in-the-loop validation frameworks to audit AI-generated recommendations for bias, accuracy, and logic Decision Support & Analytics Operate compensation planning cycles and generate first-pass recommendations for comp decisions Build dashboards and analytical frameworks covering market competitiveness, interna

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using Plaid's financial network data. We believe that transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention. Our products — including Protect and Signal — operate at network scale and depend on real-world investigation and research to stay ahead of adaptive adversaries. As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied data science, and product innovation. You will lead complex investigations, translate findings into detection improvements, and collaborate tightly with Data Science, ML, and Product teams to shape the next generation of Plaid's fraud capabilities. This is not a purely operational role — your research directly drives features, model inputs, and product design. Responsibilities: Live Fraud Investigation & Reconstruction Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces Provide support to day-to-day fraud operations including SEVs and alert triage Reconstruct attacker sequences and hypothesize actor intent and tooling Distill p

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownershi

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The mission of the Developer Relations team is to empower developers to easily use and understand Plaid’s products, delivering a supportive, industry-leading developer experience via scalable, broad-reaching methods. The scope of this role covers all of Plaid's commercially available, customer-facing products. We’re looking for an experienced Developer Relations Engineer to help the world’s fintech companies (and we believe every company is a fintech company, even if they don't know it yet) integrate with Plaid's APIs. In this role, you’ll create best-in-class developer experiences, cementing Plaid's reputation as the most trustworthy, developer-friendly financial services API. This is a highly technical, highly visible role with direct impact on Plaid’s product, brand, and developer experience. Responsibilities Create and evolve developer documentation for Plaid’s APIs – writing new content, and improving clarity, accuracy, and usability of existing content. Distill complex technical topics into approachable, accurate explanations for a broad developer audience. Design and build sample applications, demos, and tutorial videos that demonstrate the benefits of integrating with Plaid’s APIs and the be