Top Tech Jobs & Startup Jobs

Respond to customer inquiries through chat, phone, and email; resolve technical issues and escalations; promote product adoption; help customers maximize platform functionality; contribute to knowledge-base content; and collaborate with Sales, Product, QA, and Account Management. The role supports SaaS customers using HTML, CSS, JavaScript, and APIs to troubleshoot and drive long-term success.

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.

Leads product management for federal client engagements, shaping Agile teams, product vision, strategy, and backlogs across multiple workstreams. Consults with clients, facilitates workshops, develops product artifacts, manages discovery and delivery, and promotes MVP-focused outcomes. Contributes to the product practice through mentoring, best practices, proposals, and internal initiatives. This on-call role may involve zero to 30 hours weekly based on workload.

Leads the technical strategy, architecture, modernization, operations, and delivery of a mission-critical federal data platform. Directs multiple engineering workstreams, establishes secure development and deployment standards, oversees .NET, API, database, cloud, and integration architecture, manages technical debt and production risks, and advises stakeholders on technical tradeoffs. Mentors engineering leaders and ensures reliable, secure, testable, and supportable releases.

Develop and support secure, accessible web applications using C#, .NET, JavaScript or TypeScript, REST APIs, and SQL Server. Build data-entry, ingestion, validation, workflow, reporting, and integration capabilities; write automated tests; support CI/CD; troubleshoot production issues; and improve legacy systems incrementally. Apply secure coding, role-based access, privacy, and accessibility standards while collaborating with cross-functional engineering, security, product, and federal stakeholders in an Agile environment.

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.

Lead national media sales across major brands and agencies, exceeding revenue goals through new business development and account growth. Build pipeline through RFPs and proactive pitches, manage forecasts, lead executive-level client meetings, and identify strategic revenue opportunities. Collaborate with Marketing, Data, and Revenue Operations while contributing to company culture and growth. The role is hybrid in NYC and focused on digital, programmatic, video, retail media, or digital out-of-home sales.

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.

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.