Top Tech Jobs & Startup Jobs

Architect and lead the company’s revenue operations function, advising Sales leadership through forecasting, territory, quota, pipeline, and reporting analysis. Own HubSpot and the go-to-market technology stack, build scalable processes for deal desk, approvals, quote-to-cash, lead routing, renewals, and expansions, and improve funnel performance. Develop AI-powered workflows, intent-signal pipelines, customer-facing assets, and sales enablement materials using tools such as Clay, Zapier, and LLM coding agents.

Lead Teachable’s brand and content function, including brand identity, narrative, creative output, content strategy, events, PR, and earned media. Manage internal leads and creative talent, external agencies, campaigns, and cross-functional partnerships. Set strategic and creative direction, oversee events and communications, establish performance metrics, and align brand initiatives with business goals. The role also requires mentoring leaders and maintaining a consistent brand experience across channels and audiences.

Develop and support enterprise ServiceNow solutions across ITSM, ITOM, ITAM, SPM, HRSD, FSM, CMDB, portals, and mobile applications. Build workflows, business rules, scripts, integrations, catalog items, and custom applications while supporting testing, releases, upgrades, governance, and quality standards. Provide technical leadership through code reviews, documentation, stakeholder collaboration, and mentoring.

Supports digital product delivery by gathering, analyzing, documenting, and tracing business and system requirements. The role develops user stories, acceptance criteria, workflows, UML diagrams, and test cases; facilitates stakeholder meetings; conducts testing; supports Agile teams and Scrum Masters; and recommends process improvements while coordinating with designers, researchers, developers, and subject matter experts.

Leads enterprise data, analytics, governance, architecture, data quality, portfolio management, and AI-enabled capabilities for a complex federal technology program. Establishes governance policies, data platforms, pipelines, catalogs, metadata, lineage, quality controls, dashboards, analytics products, and secure access models. Partners with cybersecurity, engineering, product, and program teams while supporting compliance, training, adoption, and continuous improvement. Requires 10+ years of experience, U.S. citizenship, certification, and eligibility for Public Trust clearance.

Manage day-to-day direct mail campaign operations, including client calendars, artwork collection, production plans, proofreading, and final print approvals. Coordinate with clients, design, and production teams to ensure timely, accurate mailings. Support special projects involving accounts receivable, recruiting, HR, and CRM management. The role requires strong organization, communication, attention to detail, time management, problem-solving, and client relationship skills.

Build next-generation voice AI systems for consumer and business applications. Develop persistent memory, complex reasoning, speech pipelines, and production-grade agentic workflows. As an early technical contributor, the ML Engineer will help shape core architecture, take ambiguous concepts through production, and influence user interactions with advanced language models in a fast-paced pre-seed startup.

Leads product marketing strategy, positioning, messaging, market research, competitive intelligence, and go-to-market launches. Partners with Product, Sales, Communications, Legal, and other teams to drive product adoption and revenue. Develops sales enablement materials, manages early-access programs, tracks activation metrics, identifies product opportunities, and communicates launch performance to senior stakeholders.

Own senior client relationships and delivery success across multiple concurrent engagements. Lead engagement teams, manage scope, economics, profitability, and risk, and communicate with C-suite stakeholders. Develop team members, support recruiting, identify account growth opportunities, and contribute to business strategy. Collaborate with data, software, AI, and engineering specialists, using technical fluency to guide integrated solutions and deliver measurable client outcomes.

Own enterprise and strategic SaaS accounts by identifying new opportunities, managing complex sales cycles, conducting POCs, negotiating bespoke agreements, closing high-value deals, and driving adoption and expansion. The role includes territory planning, prospecting, stakeholder engagement, forecasting, tailored demos and business cases, pipeline optimization, and coaching team members while contributing to go-to-market improvements.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.