Snorkel AI

Account Executive

• Develop and maintain relationships with clients in the DaaS space
• Help clients transform expert knowledge into actionable AI solutions
• Collaborate with technical teams to ensure customer success

Account Executive, Data-as-a-Service

Full-stack Engineer

• Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
• Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
• Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
• Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
• Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
• Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
• Build proactively with empathy for both customers and subject matter experts using our tools.
• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
• Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling.
• Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.

Senior Software Engineer – Expert Contributor Lifecycle

People Operations

• Own and scale end-to-end People Operations across Snorkel, including:
• HR systems, data, and infrastructure
• Employee lifecycle operations (onboarding → offboarding)
• Compliance, policies, and risk management
• Immigration
• People analytics and reporting
• Build and operationalize People infrastructure to support rapid company growth
• Partner with the Head of EC Experience, Product and Engineering to ensure scalable systems for managing a large, distributed network of 1099 and temporary W-2 expert contributors (10,000s of workers)
• Directly support cross-border compliance frameworks in coordination with Legal, Finance, Ops and People teams, as well as EoR and AoR partner management and ongoing relationship oversight
• Partner closely with Legal, Finance, and Operations on workforce models, classification, and compliance
• Improve efficiency and experience through automation, tooling, and AI-driven workflows
• Establish strong operational rigor: documentation, SLAs, and service delivery standards
• Lead, hire, and develop a high-performing People Operations team to support both sides of the business

Director, People Operations

SDET

• Refine and evolve testing infrastructure and tooling that enables engineers to ship high-quality features at scale
• Design, implement, and maintain automated testing systems
• Create internal tools that improve developer productivity and shorten iteration cycles
• Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
• Drive best practices in testing, observability, and release confidence across the engineering org

Software Engineer in Test – Infrastructure

IT Support

• Provide Tier 1/2/3 support for our global team
• Build and maintain the 'glue' between our tools
• Lead the technical execution for SOC2 compliance
• Own the daily health of our core tools
• Proactively improve our AI-driven solutions
• Maintain and optimize local office networking and AV infrastructures

IT Support Specialist

Security Engineer

• Evolve Snorkel's security posture across cloud infrastructure, developer platform, and product ecosystem
• Partner with the security lead to secure cloud environments and automate security processes
• Architect secure AWS cloud account structures and design secure network architectures
• Conduct threat modeling and secure design assessments

Infrastructure Security Engineer

Developer Relations

• Set the strategy and architecture for our local development environment, build systems, testing frameworks, CI/CD pipelines, and AI-assisted coding workflows (Claude Code, Claude MD-in-repo workflows)
• Own the CI health and experience, maintain metrics to track CI health, developer productivity, effective usage of AI and build roadmap to constantly improve
• End-to-end ownership of our release pipeline and lead the transition from scheduled releases to a robust, automated continuous deployment framework
• Deep experience and opinion in standardizing for effective usage of AI coding and reviewing agents for faster development, review and incident investigation
• Ship a clear multi-quarter DevEx roadmap and lead cross-team adoption
• Mentor and technically guide engineers within and outside of the team with best practices to improve quality and velocity; potential to grow into TLM ownership as the team grows
• Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling
• Proactively identify bottlenecks and drive large-scale DX initiatives — e.g., cutting flaky tests, improving PR iteration speed, increasing automated test coverage, and reducing infra cost
• Present plans, tradeoffs, and progress to engineering leadership; serve as a thought partner for org-wide developer experience strategy
• Champion experimentation and roll-out of AI-native development workflows, coding assistants, test-generation tools, and autonomous CI bots

Senior Software Engineer – Developer Experience

Solutions Engineer

• Recruit, hire, and develop AI Solutions Engineers, coaching the team on technical quality, customer engagement, and career growth
• Set and maintain the technical bar for specifications, evaluation frameworks, and customer deliverables
• Own SE capacity planning and account coverage; partner with AE leadership on deal strategy, engagement prioritization, and pipeline forecasting
• Establish team processes and playbooks for discovery, spec development, and knowledge sharing
• Lead technical conversations on select strategic accounts, including scoping, solution design, and partnership with customer research teams
• Serve as escalation point for technically complex or high-stakes customer situations

Manager, AI Solutions Engineer

Operations

• Partner across the EC Experience team to help operationalize the EC Lifecycle strategy and support key strategic priorities
• Own and drive key operational initiatives and cross-functional programs from planning through execution
• Track progress against goals, proactively identifying risks, dependencies, and blockers and helping coordinate solutions
• Support decision-making by developing analyses and structured insights that inform prioritization and trade-offs
• Take ownership of ambiguous operational problems by structuring analyses, developing recommendations, and driving implementation
• Act as a cross-functional connector across Delivery, Product, Engineering, Supply, Marketing, and Analytics to ensure alignment and effective execution

Operations Manager, Expert Contributor Experience

• Identify high-leverage opportunities for automation, AI, and systems improvement across GTM workflows, including lead routing, account research, deal support, forecasting workflows, delivery handoffs, and post-sale processes.
• Design, build, and maintain automated workflows and AI-enabled processes using a mix of no-code/low-code tools, Salesforce automation, APIs, and code where appropriate.
• Build and optimize integrations across Salesforce and connected GTM systems to improve data flow, system reliability, and operational efficiency.
• Partner with Sales, Marketing, Delivery, Customer Success, Finance, and RevOps leadership to understand business pain points and translate them into scalable technical solutions.
• Develop internal tools, utilities, and lightweight applications that improve how GTM teams access data, execute workflows, and make decisions.
• Improve the quality and usability of GTM data by implementing governance, validation, enrichment, and monitoring frameworks across business systems.
• Evaluate new vendors, platforms, and AI tooling with a clear build vs. buy mindset.
• Ensure systems and workflows are well documented, tested, reliable, and maintainable.
• Help define best practices for how Snorkel applies AI within GTM operations, balancing speed, utility, and quality.
• Continuously identify opportunities to reduce manual work and increase leverage across the organization.

GTM Engineer

Data Analyst

• Define the core operational metrics that measure delivery performance, quality, efficiency, and scalability across the DaaS business
• Design and build dashboards that clearly communicate operational performance and enable fast decision-making by Delivery leadership and all of the respective teams and pods within Delivery
• Build and maintain delivery capacity models that forecast project demand and internal staffing needs
• Partner with Delivery leadership to identify operational bottlenecks and proactively surface constraints
• Establish a clear measurement framework for Delivery, defining how we track throughput, quality, contributor performance, and operational efficiency
• Analyze trade-offs between speed, quality, cost, and staffing to guide resourcing and delivery decisions
• Collaborate closely with the Data team to ensure dashboards and analyses are built on reliable sources of truth and scalable data structures
• Partner with Supply to ensure expert contributor availability aligns with delivery needs
• Partner with GTM to model pipeline impact on delivery capacity and staffing plans
• Translate ambiguous operational questions into structured analyses and executive-ready recommendations
• Drive continuous improvement in how Delivery performance is measured, monitored, and managed

Senior Analytics Manager, Delivery – DaaS

Revenue Operations

• Partner with GTM and Finance leadership to translate company growth goals into clear operating plans.
• Lead key planning processes including territory design, segmentation, and quota allocation.
• Build and maintain capacity and coverage models across sales and services teams.
• Partner with Finance on headcount planning and revenue modeling.
• Design and administer variable compensation plans, including incentive structures, accelerators, and SPIFFs that align sales behavior with company goals.
• Own end-to-end forecasting and pipeline management across business units.
• Ensure strong pipeline hygiene, deal progression, and inspection discipline.
• Track performance against plan and drive initiatives with GTM leaders to address risks or gaps.
• Partner with Finance and GTM leadership to maintain high-quality bookings and revenue forecasts.
• Define and maintain the metrics, dashboards, and reporting frameworks used to run the business.
• Surface trends across the customer lifecycle including pipeline generation, sales execution, delivery performance, and expansion.
• Support executive decision-making by translating complex data into clear, actionable recommendations.
• Partner with Marketing, Finance, Sales, Customer Success, and Delivery to ensure GTM initiatives are well-coordinated and effectively executed.
• Work with the Revenue Architecture and Data team to translate operational needs into scalable systems and workflows across CRM, forecasting, and reporting tools.
• Lead through influence, driving adoption of processes, tools, and reporting standards across teams.
• Reinforce a strong operating cadence and culture of accountability across the revenue organization.

Revenue Operations Lead

Software Engineer

• Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
• Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact.
• Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
• Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
• Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
• Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
• Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality

Head of Forward-Deployed Engineering

Systems Engineer

• Partner with Sales and Delivery leadership to gather, document, and prioritize business requirements for operational systems and workflows.
• Translate business needs into scalable system designs and implement solutions directly in Salesforce, including objects, flows, validation rules, automation, and configuration updates.
• Collaborate with Revenue Operations and cross-functional teams (Marketing, Finance, Analytics, Delivery, and Supply) to ensure system changes and new processes align across teams and do not negatively impact downstream systems.
• Implement SOPs, governance frameworks, and system controls to improve Salesforce data hygiene and maintain Salesforce as a trusted source of truth.
• Evaluate existing operational processes and recommend system and workflow improvements that increase efficiency and scalability.
• Support the rollout of new system capabilities and enhancements across Salesforce and connected business systems.
• Ensure system changes are properly tested, documented, and communicated to stakeholders.
• Partner with Enablement to ensure systems and new processes are effectively adopted and consistently utilized across teams.
• Manage system change requests and collaborate with RevOps leadership on prioritization and rollout planning.

Account Executive, Data-as-a-Service

Senior Software Engineer – Expert Contributor Lifecycle

Director, People Operations

Software Engineer in Test – Infrastructure

IT Support Specialist

Infrastructure Security Engineer

Senior Software Engineer – Developer Experience

Software Engineer in Test – Infrastructure

Manager, AI Solutions Engineer

Operations Manager, Expert Contributor Experience

GTM Engineer

Senior Analytics Manager, Delivery – DaaS

Revenue Operations Lead

Head of Forward-Deployed Engineering

Senior Business Systems Analyst