Tools And Automation Engineer Jobs

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

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. Build Core Data Engineering Primitives at Cloud Scale Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you. You'll be working on the streaming and transformation layer at Snowflake: the constructs that define how customers move, shape, and maintain data. AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard distributed systems engineering, and that's what we're hiring for. About the Team We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which means your decisions ship, your architec

About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We're at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview Datalab is growing extremely quickly, and as we grow, we outgrow our processes every few months. We're looking for a Founding Business Operations hire to find where the business is straining and fix it — designing, running, and improving the operational machinery underneath a fast-scaling company. This is a true generalist role, and the target will move as we scale. You'll own whatever the highest-leverage operational gap is at a given moment. Right now, that's our revenue and metrics layer: our pipeline and customer data need a real owner, inbound leads need to be captured and followed up reliably, and leadership needs consistent visibility into how the business and our launches are performing. That's where you'll start and where you'll have the most impact in your first few months. In two or three months the biggest gap may be somewhere else entirely — and you'll be the kind of person who's energized by that, not unsettled by it. You'll work directly with leadership and partner across sales, engineering, research, finance, and our Chief of Staff. If you're ambitious, analytical, and organized, this is a uniquely rewarding opportunity to help build an AI business from the ground up. Day to day: A typical week might

About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're hiring our founding GTM - someone who can run the full cycle of sales; sourcing leads, managing the sales process, and closing deals, all while building the playbook that future hires will run on. Datalab makes document AI infrastructure that powers extraction at scale. We're at 8-figure revenue, and have grown revenue >5x YoY, with a team of 7. Anthropic uses Datalab. So do hundreds of other companies across FAANG, frontier AI labs, financial services, insurance, logistics, healthcare, and government. Our open-source projects (Marker, Surya, Chandra) have 60k+ stars and wide community adoption. Sales today is founder-led. The goal of this role is to build a real sales motion on top of that foundation - outbound, ICP definition, enterprise process, and the playbook itself. You won’t be selling alone - engineers and the founder are heavily involved in the sales process, and the whole company pitches in to unblock deals and support customers. This is a high-ownership, high-ambiguity role. We have standard pricing in some areas and open questions in others. We have strong signals about who our best customers are, but ICP isn't fully defined. You'll work alongside the founder and our GTM team to figure those th

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastruct

Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API. This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders. As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how teams evaluate and deploy our models. Day to day, you will: Ship features to our open source repos, API, and internal tooling. Design and build frontend features that make document parsing more interactive and understandable. Optimize inference performance and improve th

Base — $160k – $180k | OTE — ~$230k – $255k | Equity — 0.3% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We're at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Founding Customer Success Manager to own the relationship with our enterprise customers after they sign. You'll be accountable for adoption, retention, and growth — making sure customers get real value from our models, stay for the long run, and expand their usage over time. You'll be the face of Datalab for every account you own: their trusted advisor, their first call when something matters, and the person keeping their goals moving forward. You will be the commercial and relationship manager who owns the account strategy after a deal has been signed. You'll orchestrate the right people internally so the customer always feels progress. You'll know the product and the customer's architecture well enough to lead most conversations yourself, and you'll pull in Engineering when an account needs it. We also have a long tail of self-serve customers using our API. Many are strong candidates to expand into enterprise contracts, and you'll own that self-serve → enterprise motion end to end — from spotting high-potential accounts to closing the upgraded contract. This role is ideal for someone who thrives at the intersection of c

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Product Designer for Nextdoor's Consumer Product organization, you'll take full, dedicated ownership of key product areas — from production design through launch. You'll be a key player in driving our design vision, and join a team of designers evolving and improving the user experience of our platform. You'll work alongside product managers, engineers, and researchers to shape experiences that transform how neighbors connect with each other, their neighborhood, and local businesses. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors and their businesses to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of fast-paced growth, seeing your designs come to life, and collaborating with

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Lead Designer on Nextdoor's Consumer Product team, you'll help shape the future of how neighbors connect with one another, their neighborhoods, and local businesses and events. You'll join a collaborative team of designers, product managers, engineers, and researchers working to evolve and improve the experience across our platform. We're hiring a player-coach to lead craft for Consumer Design, someone who runs a rigorous crit, coaches designers toward their next level, and holds the line when speed and quality trade off, while still shipping hands-on work themselves. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Product Designer for Nextdoor's Consumer Product organization, you'll take full, dedicated ownership of key product areas — from production design through launch. You'll be a key player in driving our design vision, and join a team of designers evolving and improving the user experience of our platform. You'll work alongside product managers, engineers, and researchers to shape experiences that transform how neighbors connect with each other, their neighborhood, and local businesses. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors and their businesses to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of fast-paced growth, seeing your designs come to life, and collaborating with

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Lead Designer on Nextdoor's Consumer Product team, you'll help shape the future of how neighbors connect with one another, their neighborhoods, and local businesses and events. You'll join a collaborative team of designers, product managers, engineers, and researchers working to evolve and improve the experience across our platform. We're hiring a player-coach to lead craft for Consumer Design, someone who runs a rigorous crit, coaches designers toward their next level, and holds the line when speed and quality trade off, while still shipping hands-on work themselves. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Product Designer for Nextdoor's Consumer Product organization, you'll take full, dedicated ownership of key product areas — from production design through launch. You'll be a key player in driving our design vision, and join a team of designers evolving and improving the user experience of our platform. You'll work alongside product managers, engineers, and researchers to shape experiences that transform how neighbors connect with each other, their neighborhood, and local businesses. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors and their businesses to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of fast-paced growth, seeing your designs come to life, and collaborating with

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

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. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities. Responsibilities & Focus Areas: Technical Execution & Consumption Activation: Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value Coa

Mid-Market Account Executive As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Focus entirely on net-new logo acquisition Convert inbound leads to closed opportunities Leverage tools such as Sales Navigator and DiscoverOrg Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps) Multi-thread into different departments of a complex organization Collaborate with Sales Development Representatives to drive top of funnel activity Manage the full sales cycle, including negotiations and on-site technical demonstrations Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Who You Are: Experienced in hunting and closing net new logos Able to strategically map out and break into large scale organizations Curious, motivated, and driven as a sales person Bold on the phones and creative in your emails Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time Benefits and Growth: High income earning opportunities based on self performance Opportunity for Presidents C