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Solutions Engineer, Mid Market
Middesk · New York, New York, USA
Pay
$140k–190k
Setting
Hybrid
ABOUT MIDDESK:
Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
ABOUT THE ROLE:
We're looking for a Solutions Engineer to own the technical win across Middesk's sales cycles. In this role, you'll partner with Account Executives from first discovery call through signed contract, serving as the technical authority that gives prospects the confidence to build their business on Middesk.
You'll serve as a trusted technical advisor to prospects: understanding their business and compliance requirements, mapping their needs to Middesk's platform, running compelling demos and technical evaluations, and designing integration architectures that de-risk the buying decision. Beyond direct deal impact, your expertise will influence Middesk's product direction as you synthesize prospect feedback and competitive intelligence to shape our roadmap and GTM strategies.
Reporting to the Director of Solutions Engineering, this is a highly visible, customer-facing role in a high-growth, execution-driven environment. We're looking for someone equally comfortable whiteboarding API architecture with a prospect's engineering team as they are building the business case with a Chief Compliance Officer.
WHAT YOU'LL DO:
- Own the technical win by partnering with Account Executives throughout the sales cycle—leading technical discovery, qualifying requirements, and driving deals to close by removing technical objections and building champion confidence.
- Run discovery and solution design by understanding each prospect's onboarding workflows, risk and compliance requirements, and technical environment, then mapping those needs to Middesk's APIs, data products, and verification workflows.
- Deliver compelling demos and presentations by tailoring product demonstrations to each audience—from hands-on API walkthroughs for engineers to business-impact narratives for risk, compliance, and executive stakeholders.
- Lead technical evaluations and proofs of concept by scoping success criteria, supporting prospects through sandbox testing and data evaluations, and translating results into a clear case for Middesk.
- Design integration architectures by advising prospects on scalable, resilient implementation approaches that fit their compliance, risk, and operational needs, especially in high-volume or regulated environments.
- Handle technical diligence by owning responses to RFPs, security questionnaires, and technical deep-dives, and coordinating with internal teams on complex requirements.
- Ensure a clean handoff to post-sales by documenting solution designs, requirements, and commitments so implementation teams can take new customers to production quickly and without surprises.
- Champion the voice of the prospect internally by synthesizing feedback, feature gaps, and competitive intelligence, and collaborating with Product, Engineering, and Marketing to sharpen our roadmap and positioning.
WHO YOU ARE:
- 3+ years in a pre-sales or customer-facing technical role such as Solutions Engineer, Sales Engineer, Solutions Consultant, Solutions Architect, or similar
- Experience selling or supporting B2B SaaS products with API-first or data-centric integrations
- Strong familiarity with APIs, data workflows, and SQL—you're comfortable reading and debugging requests/responses, exploring data, and demonstrating technical products credibly to engineering audiences
- Proven track record supporting mid-market and enterprise sales cycles, ideally including fintechs, financial institutions, or other regulated companies with complex evaluations
- Comfortable managing multiple active deals at once—prioritizing effectively, context-switching across opportunities, and keeping deals moving
- Excellent communicator who can translate between technical details and business impact for different audiences (engineers, product managers, risk/compliance, and executives)
- Competitive problem solver with a bias toward action—you're motivated by winning deals, digging into ambiguous requirements, and finding the path to yes
NICE TO HAVE:
- Familiarity with identity verification, fraud, compliance, or onboarding workflows in regulated industries (e.g. banking, fintech, insurance)
- Early-stage startup experience building demo environments, sales enablement assets, and repeatable technical sales processes
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Solutions Architect, Mid Market
Middesk · New York, New York, USA
Pay
$150k–210k
Setting
Hybrid
About Middesk:
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.
Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.
Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.
About The Role:
We’re looking for a Solutions Architect to own the technical health, adoption, and growth of some of Middesk’s Mid Market and Scaled book of business. In this role, you’ll work cross-functionally with Sales, Customer Success, Product, and Engineering to ensure customers realize the full value of Middesk—from initial implementation through long-term partnership.
You’ll serve as a trusted technical advisor to customers: understanding their business, designing and guiding integrations, troubleshooting complex issues, and proactively identifying ways to improve performance, expand use cases, and reduce risk. Beyond direct client impact, your expertise will influence Middesk’s product direction as you collaborate with cross-functional teams to shape our roadmap and GTM strategies.
Reporting to the Director of Solutions Engineering, this is a highly visible, customer-facing role in a high-growth, execution-driven environment. We’re looking for someone equally comfortable diving into API logs and data workflows as they are presenting recommendations to senior stakeholders.
What You’ll Do:
Own the technical relationship for key accounts by acting as the primary technical point of contact and building strong relationships with customer product, engineering, and account management teams.
Drive successful onboarding and implementation by partnering with Sales and Customer Success to transition new customers into production, from scoping and integration design to architecture review and go-live.
Ensure ongoing reliability and performance by monitoring account health, usage patterns, and key technical metrics, identifying risks early, and coordinating with internal teams to resolve issues quickly.
Become a product and domain expert by developing deep expertise in Middesk’s APIs, data products, and verification workflows to guide customers on best practices and new capabilities.
Troubleshoot and unblock complex problems by diving into logs, payloads, and data workflows to investigate issues, reproduce edge cases, and partner with Support and Engineering on durable fixes.
Advise on architecture and integrations by helping customers design scalable, resilient workflows and integrations that align with their compliance, risk, and operational needs, especially in high-volume or regulated environments.
Champion the voice of the customer internally by synthesizing feedback and feature requests and collaborating with Product, Engineering, and Design to influence the roadmap and improve customer experience.
Create and maintain technical enablement by contributing to documentation, implementation guides, runbooks, and reusable assets that help customers and internal teams move faster and more confidently.
Who You Are:
5+ years in a customer-facing technical role such as Solutions Architect, Technical Account Manager, Solutions Engineer, Customer Engineer, Implementation Engineer, Forward Deployed Engineer or similar
Experience supporting B2B SaaS products with API-first or data-centric integrations
Strong familiarity with APIs, data workflows, and SQL—you’re comfortable reading and debugging requests/responses, exploring data, and collaborating closely with engineering teams
Proven track record working with mid-market and enterprise customers, ideally including fintechs, financial institutions, or other regulated companies with complex integrations
Comfortable owning a portfolio of accounts—prioritizing effectively, context-switching across customers, and managing multiple projects at once
Excellent communicator who can translate between technical details and business impact for different audiences (engineers, product managers, risk/compliance, and executives)
Problem solver with a bias toward action—you’re motivated by digging into ambiguous issues, finding root causes, and driving them to resolution
Nice to Have:
Familiarity with identity verification, fraud, compliance, or onboarding workflows in regulated industries (e.g. banking, fintech, insurance)
Early-stage startup experience owning documentation, cross-team enablement, and customer education
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Lead Data Scientist
Middesk · San Francisco, California, USA
Pay
$210k–250k
Setting
Hybrid
ABOUT MIDDESK:
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.
Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.
Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.
ABOUT THE ROLE:
We are actively building AI-driven applications that streamline customer workflows, focusing on business onboarding. With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth.
We’re looking for a hands-on applied ML expert to help build the technical foundation for these efforts. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. This is a highly technical, hands-on role with wide influence on how we design, build, and scale ML at Middesk.
We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office. Candidates should be based within a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible.
WHAT YOU'LL DO:
- Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows.
- Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges.
- Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process.
- Establish ML infrastructure foundations: Partner with the ML infra team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases.
- Design and implement knowledge graph solutions: Leveraging LLMs for graph construction, querying, and retrieval to enhance entity resolution and business identity use cases.
WHAT WE'RE LOOKING FOR:
- 7+ years of production ML experience in one or more of the following areas:
- Building Production ML for risk, fraud, credit, or trust & safety: Track record of shipping external-facing ML applications in one or more of these domains.
- Knowledge graph applications: Hands-on experience building, querying, or extracting signals from knowledge graphs—ideally over business entity networks (companies, persons, addresses, relationships) to support identity verification, fraud detection, or risk decisioning.
- Entity resolution for business or individual identities: Experience disambiguating and linking records across noisy, incomplete, or conflicting data sources—particularly in KYB, KYC, AML, or identity verification contexts where the same real-world entity may appear under different names, addresses, or tax IDs.
- Expertise in classification with real-world ML challenges, for example: imbalanced labels, sparse signals, cold start, and production version management.
- Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines.
- Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices.
NICE-TO HAVE:
- B2B SaaS experience, ideally building ML products for enterprise customers.
- ML pipeline and automation engineering: Experience building end-to-end training harnesses that automate feature engineering, data validation, and model training.
- Experience scaling ML across multiple products or risk domains.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Lead Data Scientist
Middesk · San Francisco, California, USA
Pay
$210k–250k
Setting
Hybrid
ABOUT MIDDESK:
Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
ABOUT THE ROLE:
We are actively building AI-driven applications that streamline customer workflows, focusing on business onboarding. With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth.
We’re looking for a hands-on applied ML expert to help build the technical foundation for these efforts. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. This is a highly technical, hands-on role with wide influence on how we design, build, and scale ML at Middesk.
We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office. Candidates should be based within a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible.
WHAT YOU'LL DO:
- Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows.
- Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges.
- Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process.
- Establish ML infrastructure foundations: Partner with the ML infra team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases.
- Design and implement knowledge graph solutions: Leveraging LLMs for graph construction, querying, and retrieval to enhance entity resolution and business identity use cases.
WHAT WE'RE LOOKING FOR:
- 7+ years of production ML experience in one or more of the following areas:
- Building Production ML for risk, fraud, credit, or trust & safety: Track record of shipping external-facing ML applications in one or more of these domains.
- Knowledge graph applications: Hands-on experience building, querying, or extracting signals from knowledge graphs—ideally over business entity networks (companies, persons, addresses, relationships) to support identity verification, fraud detection, or risk decisioning.
- Entity resolution for business or individual identities: Experience disambiguating and linking records across noisy, incomplete, or conflicting data sources—particularly in KYB, KYC, AML, or identity verification contexts where the same real-world entity may appear under different names, addresses, or tax IDs.
- Expertise in classification with real-world ML challenges, for example: imbalanced labels, sparse signals, cold start, and production version management.
- Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines.
- Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices.
NICE-TO HAVE:
- B2B SaaS experience, ideally building ML products for enterprise customers.
- ML pipeline and automation engineering: Experience building end-to-end training harnesses that automate feature engineering, data validation, and model training.
- Experience scaling ML across multiple products or risk domains.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Forward Deployed Engineer
Middesk · San Francisco, California, USA
Pay
$148k–255k
Setting
Hybrid
ABOUT MIDDESK:
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.
Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.
Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.
ABOUT THE ROLE:
We're hiring a Forward Deployed Engineer (FDE): a deeply technical builder and technical leader who thrives at the intersection of engineering, product, and real customer problems.
You'll work shoulder-to-shoulder with customers and internal product and engineering teams to design, ship, and iterate on mission-critical integrations and AI-driven systems that run in production. You'll write real code, own complex deployments end-to-end, and help shape how these systems are built across Middesk. Forward Deployed Engineers close the gap between product intent and real-world usage—acting as a tight feedback loop that shapes both how our product is used and what it becomes.
You will act as a technical leader, helping set direction, influence architecture, and establish best practices for how we deploy and operate systems in the real world.
This role is ideal for a recovering founder, a former core engineer who misses direct customer impact, or someone who thrives on ownership and wants to build real systems where the feedback loop is immediate.
WHAT YOU’LL DO:
Own Technical Direction for Deployments
- Lead architecture and technical design for complex, customer-facing systems and integrations.
- Make and communicate clear trade-offs across speed, reliability, and scalability.
- Identify systemic risks and drive improvements across deployments, not just one-off solutions.
- Establish patterns and standards that other engineers can build on—helping define what "great" looks like for Forward Deployed Engineering at Middesk.
Build & Deploy Real Systems
- Partner deeply with strategic customers to understand their architecture, workflows, and constraints.
- Design, build, and deploy production-grade integrations using Middesk APIs, data pipelines, and AI workflows.
- Own deployments end-to-end: from architecture and implementation to rollout, monitoring, and iteration. Deployment quality matters—we operate in the critical path of customer systems.
- Solve ambiguous, high-impact problems that don't yet have established playbooks.
AI, Agents & Evaluation
- Build and operate LLM- and agent-based systems in real customer workflows.
- Design and maintain evaluation frameworks (evals) to measure quality, reliability, and correctness of LLM outputs and agent behavior.
- Create test harnesses, metrics, and feedback loops to continuously improve AI-driven systems.
- Feel comfortable running multiple coding agents or automated workflows in parallel, debugging failures, and reasoning about system behavior.
Influence Product & Engineering Direction
- Translate deployment learnings into reusable abstractions, internal tooling, and product improvements.
- Influence roadmap priorities by surfacing recurring patterns, technical gaps, and opportunities for leverage.
- Participate in architecture discussions and contribute to org-wide technical decisions.
- We believe engineering velocity is only valuable if it delivers customer value—your role is to make sure it does.
Lead & Raise the Bar
- Lead through influence, not authority—setting a high standard for engineering quality and pragmatism in a high-ownership, high-trust environment.
- Guide engineers through design reviews, code reviews, and hands-on collaboration.
- Enjoy real autonomy, direct influence on product direction, and deep technical problems with real-world impact.
- Work with a team that values thoughtful engineering over performative process.
WHAT WE’RE LOOKING FOR:
Core Requirements
- 6+ years of experience building and shipping software in production environments.
- Demonstrated experience acting as a technical lead or domain owner for a team or major system.
- Strong proficiency in Python and at least one additional language (TypeScript, Go, etc.).
- Experience designing and operating distributed systems, APIs, and cloud-native infrastructure.
- Comfort operating across the stack: backend systems, integrations, infrastructure, and tooling.
- Strong debugging instincts and an ownership mindset—you care deeply about failure modes, not just happy paths.
- Strong communication skills—able to articulate trade-offs clearly to engineers, product, and non-technical stakeholders.
AI / LLM Experience (Strong Plus)
- Hands-on experience building or deploying LLM-powered or agent-based systems.
- Familiarity with LLM evaluation techniques (evals) and performance measurement.
- Experience orchestrating automated workflows, agents, or developer tooling powered by AI.
- Clear understanding of failure modes and tradeoffs in applied AI systems.
Customer & Domain Experience
- Experience working in startup environments with high ambiguity and rapid iteration.
- Background in fintech, compliance, or regulated systems where correctness and data quality matter.
- Comfortable working directly with customers on complex technical problems.
NICE-TO-HAVE:
- Former founder or early startup engineer.
- Experience with identity systems, risk/fraud, or workflow automation.
- Familiarity with observability, reliability engineering, or system safety practices.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Forward Deployed Engineer
Middesk · San Francisco, California, USA
Pay
$148k–255k
Setting
Hybrid
ABOUT MIDDESK:
Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
ABOUT THE ROLE:
We're hiring a Forward Deployed Engineer (FDE): a deeply technical builder and technical leader who thrives at the intersection of engineering, product, and real customer problems.
You'll work shoulder-to-shoulder with customers and internal product and engineering teams to design, ship, and iterate on mission-critical integrations and AI-driven systems that run in production. You'll write real code, own complex deployments end-to-end, and help shape how these systems are built across Middesk. Forward Deployed Engineers close the gap between product intent and real-world usage—acting as a tight feedback loop that shapes both how our product is used and what it becomes.
You will act as a technical leader, helping set direction, influence architecture, and establish best practices for how we deploy and operate systems in the real world.
This role is ideal for a recovering founder, a former core engineer who misses direct customer impact, or someone who thrives on ownership and wants to build real systems where the feedback loop is immediate.
WHAT YOU’LL DO:
Own Technical Direction for Deployments
- Lead architecture and technical design for complex, customer-facing systems and integrations.
- Make and communicate clear trade-offs across speed, reliability, and scalability.
- Identify systemic risks and drive improvements across deployments, not just one-off solutions.
- Establish patterns and standards that other engineers can build on—helping define what "great" looks like for Forward Deployed Engineering at Middesk.
Build & Deploy Real Systems
- Partner deeply with strategic customers to understand their architecture, workflows, and constraints.
- Design, build, and deploy production-grade integrations using Middesk APIs, data pipelines, and AI workflows.
- Own deployments end-to-end: from architecture and implementation to rollout, monitoring, and iteration. Deployment quality matters—we operate in the critical path of customer systems.
- Solve ambiguous, high-impact problems that don't yet have established playbooks.
AI, Agents & Evaluation
- Build and operate LLM- and agent-based systems in real customer workflows.
- Design and maintain evaluation frameworks (evals) to measure quality, reliability, and correctness of LLM outputs and agent behavior.
- Create test harnesses, metrics, and feedback loops to continuously improve AI-driven systems.
- Feel comfortable running multiple coding agents or automated workflows in parallel, debugging failures, and reasoning about system behavior.
Influence Product & Engineering Direction
- Translate deployment learnings into reusable abstractions, internal tooling, and product improvements.
- Influence roadmap priorities by surfacing recurring patterns, technical gaps, and opportunities for leverage.
- Participate in architecture discussions and contribute to org-wide technical decisions.
- We believe engineering velocity is only valuable if it delivers customer value—your role is to make sure it does.
Lead & Raise the Bar
- Lead through influence, not authority—setting a high standard for engineering quality and pragmatism in a high-ownership, high-trust environment.
- Guide engineers through design reviews, code reviews, and hands-on collaboration.
- Enjoy real autonomy, direct influence on product direction, and deep technical problems with real-world impact.
- Work with a team that values thoughtful engineering over performative process.
WHAT WE’RE LOOKING FOR:
Core Requirements
- 6+ years of experience building and shipping software in production environments.
- Demonstrated experience acting as a technical lead or domain owner for a team or major system.
- Strong proficiency in Python and at least one additional language (TypeScript, Go, etc.).
- Experience designing and operating distributed systems, APIs, and cloud-native infrastructure.
- Comfort operating across the stack: backend systems, integrations, infrastructure, and tooling.
- Strong debugging instincts and an ownership mindset—you care deeply about failure modes, not just happy paths.
- Strong communication skills—able to articulate trade-offs clearly to engineers, product, and non-technical stakeholders.
AI / LLM Experience (Strong Plus)
- Hands-on experience building or deploying LLM-powered or agent-based systems.
- Familiarity with LLM evaluation techniques (evals) and performance measurement.
- Experience orchestrating automated workflows, agents, or developer tooling powered by AI.
- Clear understanding of failure modes and tradeoffs in applied AI systems.
Customer & Domain Experience
- Experience working in startup environments with high ambiguity and rapid iteration.
- Background in fintech, compliance, or regulated systems where correctness and data quality matter.
- Comfortable working directly with customers on complex technical problems.
NICE-TO-HAVE:
- Former founder or early startup engineer.
- Experience with identity systems, risk/fraud, or workflow automation.
- Familiarity with observability, reliability engineering, or system safety practices.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Data Scientist
Middesk · San Francisco, California, USA
Pay
$175k–210k
Setting
Hybrid
ABOUT MIDDESK:
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.
Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.
Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.
ABOUT THE ROLE:
We’re building AI-driven applications that simplify customer workflows, starting with business onboarding. With our proprietary identity data and deep domain expertise, we’re in a strong position to expand into a broader set of intelligent, risk-aware products.
We’re looking for a hands-on engineer to help build the foundation for these systems. This role is less about inventing new ML algorithms and more about applying the right techniques to messy, real-world problems. You’ve worked in fraud, risk, or trust domains, and you understand how bad actors behave, how data breaks, and how to still ship reliable systems anyway.
This is a highly technical, hands-on role with broad influence over how we design, build, and scale data-driven systems at Middesk.
We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office. Candidates should be based within a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible.
WHAT YOU’LL DO:
- Build fraud & risk systems
Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.
- Work with messy, real-world data
Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.
- Leverage relationships in data
Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.
- Improve signal & labeling
Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.
- Help scale our infrastructure
Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.
WHAT WE’RE LOOKING FOR:
- 5+ years of experience in fraud, risk, or trust & safety
You’ve worked on real-world fraud or abuse problems and understand the domain deeply.
- Experience building and shipping production systems
You’ve deployed models or data-driven systems that power external-facing products.
- Strong foundation in applied ML or data systems
Comfortable working on classification problems with real-world constraints like imbalanced data, sparse signals, and changing patterns.
- Experience with graph or relational data approaches
Familiarity with knowledge graphs, network analysis, or entity linking is strongly preferred.
- Hands-on and pragmatic
You focus on impact over perfection and know how to balance speed, accuracy, and maintainability.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Data Scientist
Middesk · San Francisco, California, USA
Pay
$175k–210k
Setting
Hybrid
About Middesk:
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.
Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.
Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.
About The Role:
We’re building AI-driven applications that simplify customer workflows, starting with business onboarding. With our proprietary identity data and deep domain expertise, we’re in a strong position to expand into a broader set of intelligent, risk-aware products.
We’re looking for a hands-on engineer to help build the foundation for these systems. This role is less about inventing new ML algorithms and more about applying the right techniques to messy, real-world problems. You’ve worked in fraud, risk, or trust domains, and you understand how bad actors behave, how data breaks, and how to still ship reliable systems anyway.
This is a highly technical, hands-on role with broad influence over how we design, build, and scale data-driven systems at Middesk.
We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office. Candidates should be based within a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible.
What You’ll Do:
Build fraud & risk systems
Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.Work with messy, real-world data
Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.Leverage relationships in data
Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.Improve signal & labeling
Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.Help scale our infrastructure
Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.
What We’re Looking For:
5+ years of experience in fraud, risk, or trust & safety
You’ve worked on real-world fraud or abuse problems and understand the domain deeply.Experience building and shipping production systems
You’ve deployed models or data-driven systems that power external-facing products.Strong foundation in applied ML or data systems
Comfortable working on classification problems with real-world constraints like imbalanced data, sparse signals, and changing patterns.Experience with graph or relational data approaches
Familiarity with knowledge graphs, network analysis, or entity linking is strongly preferred.Hands-on and pragmatic
You focus on impact over perfection and know how to balance speed, accuracy, and maintainability.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering Manager, Entity Management
Middesk · New York, New York, USA
Pay
$205k–260k
Setting
Hybrid
ABOUT MIDDESK:
Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
ABOUT THE ROLE:
We’re hiring an engineering leader to lead our Entity Management team. This team is responsible for building new business services that help companies form, maintain, and manage business entities throughout their lifecycle. These products automate complex, multi-step workflows through agentic systems that act on behalf of our customers.
This is a team taking early products to general availability. You’ll partner with a small, cross-functional group of functional leads spanning Product, Go-to-Market, and Operations to scale these products through embedded partner distribution. You’ll work closely with legal and compliance SMEs, and with engineers on your team to build and extend agentic automation—scrapers, portal bots, and intelligent workflow orchestration—that powers our products at scale.
Your primary responsibility will be the success of your team of 6–8 engineers. This includes hiring, coaching, and mentoring to ensure your team delivers impactful results for the business. While this is primarily a management role, you’ll need deep technical fluency to guide architectural decisions, scope new products, evaluate trade-offs in automation strategies, and engage meaningfully with your team’s work.
WHAT YOU’LL DO:
- Manage and coach a team of 6–8 full-stack engineers, supporting their growth by identifying development opportunities, providing continuous feedback, and addressing performance management needs.
- Own the technical roadmap and strategy for Entity Management, driving a growing suite of business services from early availability to general availability.
- Drive the evolution of agentic automation systems—including scrapers, portal bots, and intelligent workflow orchestration—that power our products at scale.
- Partner with a cross-functional team of functional leads across Product, Go-to-Market, and Operations to shape roadmap priorities and go-to-market strategy.
- Collaborate with legal and compliance subject matter experts to ensure products meet regulatory requirements.
- Scale products from early availability to GA through embedded partner channels, working closely with partners to incorporate feedback and iterate quickly.
- Partner with our recruiting team to hire and build your team with humble, self-driven engineers as we scale our engineering organization.
- Collaborate with the Engineering leadership team to continue to define our culture and improve our engineering team through scalable and repeatable processes.
WHAT WE’RE LOOKING FOR:
- 2+ years of experience leading product engineering teams in either an engineering manager or team lead capacity.
- 6+ years of product engineering experience as an individual contributor, with strong technical skills that enable you to deeply engage with architectural decisions and guide your team through complex technical trade-offs.
- Experience building and scaling agentic or automation-heavy systems—e.g., web scrapers, workflow orchestration, bot-driven interactions with external systems.
- A strong understanding of customer needs, with a proven track record of aligning engineering goals to deliver impactful, user-focused outcomes.
- Ability to effectively manage stakeholders, communicate in a structured and clear manner, and drive accountability across the team.
- Demonstrated ability to grow and manage a team through coaching, mentorship, and providing constructive performance feedback.
NICE-TO-HAVE:
- Previous experience at early or mid-stage startups as a founder, team lead, or early-stage manager.
- Experience working in compliance-heavy or regulated environments.
- Experience with embedded or partner-first product distribution models.
- Experience working on Payroll, HRtech, Fintech, Risk, and/or Enterprise SaaS products.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Infrastructure
Middesk · San Francisco, California, USA
Pay
$148k–230k
Setting
Hybrid
ABOUT MIDDESK:
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.
Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.
Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.
ABOUT MIDDESK ENGINEERING:
"Velocity" is the rate at which we effect realized value for our customers, not the rate at which we ship code. We believe that great products result when technical excellence and craft is combined with deep understanding of our customers and the problems we can help them solve. We're a humble, self-motivated team that seeks to ship early and ship often; we pride ourselves with being willing to roll up our sleeves to solve even the messiest problems our customers present to us. Middesk Engineering is customer-first engineering.
ABOUT THE ROLE:
We’re looking for an engineer who wants real ownership early: someone independent, curious, and pragmatic, with strong systems instincts and good judgment.
You’ll work across reliability, security, automation, cost, developer experience, and internal platforms. A growing part of the role is building the systems underneath how AI is changing work at Middesk: the infrastructure that lets people and agents collaborate safely, ship faster, and operate with more leverage.
We don’t expect someone to have seen every tool before. We do expect them to learn quickly, care about the details, and take responsibility for systems that matter.
We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF office. Candidates should be based within a commutable distance of San Francisco — this role is built around close, in-person collaboration and mentorship with the team.
WHAT YOU'LL DO:
- Design, build, and scale cloud infrastructure and orchestration systems, including Kubernetes, Terraform, and CI/CD, with support from senior engineers who are invested in your growth.
- Own and evolve developer experience (DevEx) tools and workflows, from local development to deployment.
- Build observability systems that provide insight into performance, reliability, and usage.
- Improve the reliability of our production systems through safer deploys, automated rollback, failover, and platform hardening.
- Collaborate with Data Scientists, Data Platform and Product Engineers to build shared platform tools necessary to scale our products and services.
- Help enforce and maintain security and compliance standards across infrastructure (SOC 2, FedRAMP, etc).
- Drive a culture of automation, resiliency, and operational excellence.
- Build the infrastructure underneath how AI is changing work at Middesk, including systems that let engineers, operators, and agents collaborate safely and effectively.
WHAT WE'RE LOOKING FOR:
- 3+ years of experience as a software engineer, with genuine interest in infrastructure, platform, or systems work – you don't need to have done this exact job before, but you need to want it.
- Strong technical fundamentals: a deep, careful understanding of how systems actually work. This is work you can't vibe-code your way through.
- A fast learner who is reliable, humble, and excited to absorb everything from experienced teammates.
- Comfort with (or excitement about) work that isn't customer-facing – the impact here is deep, not loud.
NICE-TO-HAVE:
- Hands-on experience with Kubernetes, high-availability systems, production infrastructure, or infrastructure-as-code tools (e.g. Terraform) and GitOps workflows — none of this is required, you'll learn our stack here.
- Experience building internal platforms, developer tools, automation systems, or AI-enabled engineering workflows.
- Experience in a fast-moving startup or another environment where engineers own broad surfaces and learn quickly.
Listed by Middesk for a position based in the United States. Employers on this board attest they are hiring domestically.
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