Top Tech Jobs & Startup Jobs

Owns revenue forecasting, ARR and capacity models, delivery economics, pricing analysis, margin planning, and strategic finance insights for the DaaS business. Partners with RevOps, Sales, Deal Desk, Delivery Ops, and Accounting to improve forecast accuracy, staffing plans, profitability, and pricing decisions. Leads executive reporting, identifies process improvements, and automates recurring financial models.

Own headcount and operating expense planning, annual budgets, rolling forecasts, personnel cost models, variance analysis, procurement workflows, and spend management. Partner with department leaders, Accounting, People, Recruiting, Legal, and IT to guide hiring and investment decisions. Administer Ramp and planning systems, improve financial data integrations, and support consolidated reporting, executive reviews, and board materials.

Design and deploy generative AI and machine learning solutions for customers, spanning use-case scoping, data exploration, model development, evaluation, and deployment. Build RAG systems, fine-tuning pipelines, prompt engineering recipes, and agentic workflows. Lead customer relationships, stakeholder education, workshops, and strategic initiatives while translating recurring challenges into reusable tooling, workflows, and best practices. Collaborate with Solutions, Product, and Applied AI teams to guide roadmaps and deliver business value.

Own and evolve Snorkel AI’s brand identity across visual systems, guidelines, campaigns, websites, events, research content, and data visualizations. Build scalable Figma libraries and templates, direct agencies and freelancers, lead high-visibility launches, translate technical research into compelling visuals, and establish efficient design review and approval processes. The role requires strong independent judgment, senior stakeholder influence, and hands-on expertise in brand design, typography, layout, color, and composition.

Leads Snorkel AI’s data partnership supply function, including sourcing proprietary data, building the supplier pipeline, negotiating licensing and commercial agreements, and managing partnerships through activation, sales, and renewal. Establishes qualification standards, pricing frameworks, operating metrics, and team capabilities while advising leadership on the AI data market and partnership strategy.

Leads Snorkel AI’s expert supply growth function, developing acquisition strategy, channel mix, partnerships, referral programs, BPO relationships, funnel optimization, analytics, and operating systems. Owns targets for acquiring, activating, and retaining specialized experts across domains and geographies. Builds and manages a high-performing team while partnering cross-functionally to improve quality, speed, cost, and marketplace capacity.

Supports the payment lifecycle for expert contributors by managing payment support tickets, investigating discrepancies, resolving disputes, and communicating with contributors. Audits payment data and complex incentive structures, builds SQL queries, scripts, automations, and dashboards, and collaborates with Finance, Operations, Delivery, and Engineering. The role also supports payment compliance, data traceability, workflow improvements, and audit requirements.

Build and scale machine learning systems for frontier AI data generation and evaluation. Responsibilities include efficient agentic evaluations, model routing, fine-tuning and serving smaller open-weight models, predictive task-difficulty modeling, LLM-as-judge measurement, and productionizing research prototypes. The role requires rigorous experimentation, statistical analysis, strong Python and software engineering, and end-to-end ownership of production ML or software systems.

Advance AI data and agentic environment creation by designing scalable pipelines combining automated generation, real-world data, and expert judgment. Run experiments, evaluate data and model performance, collaborate with engineering, product, customers, and domain experts, and translate research prototypes into production workflows. The role also involves developing expert-authoring workflows, monitoring frontier research, and representing findings through publications, talks, blogs, and customer engagements.

Drafts, reviews, and negotiates customer, vendor, and other commercial agreements. Partners with business teams, manages high-volume contract workflows, improves templates and playbooks, and supports contract lifecycle processes and legal projects. The role requires strong commercial judgment, communication, negotiation skills, and the ability to balance legal risk with business objectives in a fast-growing technology company.