Top Tech Jobs & Startup Jobs

Administers and supports enterprise Salesforce grants management environments, including users, permissions, objects, workflows, Flows, reports, dashboards, sandboxes, releases, deployments, data quality, integrations, and production support. Coordinates CI/CD and DevSecOps activities, source control, release planning, incident response, hotfixes, documentation, and environment management while collaborating with technical teams and federal stakeholders. The role is remote within the United States, supports Eastern Time hours, and requires eligibility for Public Trust.

Leads visual concepts, art direction, and integrated campaign systems across digital, social, video, experiential, and earned media. Guides art directors and designers, protects visual quality through production, partners with copy and strategy teams, presents work to clients, manages multiple assignments, mentors talent, and strengthens creative standards and collaboration. Requires substantial agency or studio experience, a strong art direction portfolio, and demonstrated creative leadership.

Lead phased implementation of a Salesforce-based federal grants management platform. Manage scope, schedule, budget, staffing, risks, dependencies, quality, Agile delivery, integrations, data migration, testing, security, ATO activities, deployment, training, and production support. Coordinate government stakeholders and technical teams, oversee release readiness, provide executive reporting, and support user adoption and post-deployment operations.

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.

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.

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

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.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.