Top Tech Jobs & Startup Jobs

Product Designer responsible for leading mobile and web design projects for Pika’s generative AI creative platform. Duties include developing product strategies, interaction patterns, visual language, design systems, prototypes, and user flows; collaborating with product, engineering, and research teams; engaging creators; and delivering accessible, polished experiences from concept through launch.

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.

Own contractor-side backlog readiness for a federal enterprise data and analytics platform. Translate approved needs into epics, features, user stories, requirements, and testable acceptance criteria. Facilitate discovery, stakeholder alignment, backlog refinement, dependency management, decision tracking, and sprint preparation. Collaborate with product, engineering, architecture, security, governance, quality, and customer stakeholders while supporting Agile delivery, traceability, risk management, and continuous improvement.

Leads the technical strategy, architecture, modernization, operations, and delivery of a mission-critical .NET platform. Directs engineering teams and workstreams, establishes secure development and CI/CD practices, manages technical debt and production risks, evaluates architecture and cloud options, and coordinates engineering, security, data, QA, accessibility, and operations teams. Advises federal stakeholders, oversees incident response, maintains technical roadmaps and decision records, and mentors engineering leaders.

Designs scalable, secure enterprise solution architectures for a federal data and analytics modernization platform. Develops architecture artifacts, reference architectures, ADRs, and Architecture Review Board materials; evaluates integrations, dependencies, risks, and technical tradeoffs; and guides cloud, API, data, security, migration, and AI/ML architecture decisions. Collaborates with engineering, security, compliance, data, delivery, and customer teams to support modernization roadmaps, governance, platform adoption, and successful implementation.

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.

Supports day-to-day HR operations, employee onboarding and offboarding, recordkeeping, policy updates, performance-management cycles, employee inquiries, HR reporting, training, engagement initiatives, and People team projects. Maintains confidential employee information, audits HR data, coordinates documentation and system access, and helps improve processes. The role requires strong organization, communication, discretion, and familiarity with HRIS, payroll, benefits, employment compliance, and Google Workspace.

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.