Top Hybrid Jobs

Supports executive operations and event coordination through calendar management, meeting preparation, documentation, communications, venue and vendor research, RSVP tracking, event materials, inventory coordination, and on-site setup. The intern also assists with operational guides, research, follow-up tracking, and community activations across the DMV and NYC regions while receiving weekly mentorship from executive leadership.

Supports public relations, strategic partnerships, grassroots outreach, and brand visibility campaigns. Responsibilities include reviewing brand materials, building electronic press kits and media databases, drafting media and podcast pitches, developing student and alumni partner pipelines, maintaining outreach records, and supporting rental literacy initiatives. The internship includes weekly mentorship and marketing strategy sessions focused on PR, campaigns, events, and community engagement.

Leads government and community relations for the North Corridor, aligning capital delivery, CEO office, and engagement teams. Develops strategic engagement plans, advises leadership on political and stakeholder issues, coordinates with elected officials, tribes, agencies, and communities, prepares presentations and written materials, manages emerging risks, and supports communications strategy for major transit projects.

Administers, monitors, maintains, and supports complex enterprise systems and applications. Performs requirements analysis, system design, integrations, upgrades, testing, troubleshooting, documentation, vendor coordination, licensing and budget tracking, and Level 2 support. Develops test scripts and technical manuals, monitors system performance, resolves application issues, and assists with systems administration and business technology support.

Source and engage technical talent for Engineering and other technical roles. Develop creative sourcing strategies, research talent markets, personalize candidate outreach, and build relationships. Partner with recruiters and engineering leaders to calibrate searches, improve recruiting processes, and deliver exceptional candidate experiences. Experiment with AI and new tools while taking on increasing ownership across the recruiting process.

Manage technical operations for a lending platform, including lender and client configuration, production support triage, funding and service monitoring, operational reporting, SQL troubleshooting, documentation, and process improvement. Serve as the liaison between business teams and engineering, resolve known issues, escalate application bugs, maintain runbooks, and identify opportunities to reduce manual work and improve platform performance.

Own the product direction and launch of an agentic B2B SaaS product for go-to-market operations. Define agent behavior, build evaluation suites, analyze traces, diagnose failures, and design permissions, approvals, recovery paths, and audit trails. Collaborate closely with RevOps, marketing operations, design partners, engineering, and data-system stakeholders. This is a senior individual-contributor product role focused on taking an agentic product from concept through production, not platform development, people management, or model training.

Product-focused senior engineer to shape roadmap and build full-stack features across frontend (TypeScript/SvelteKit) and backend (Python/Pydantic/FastAPI). Collaborate with cross-functional teams, contribute to infrastructure, and work with Postgres, Elastic, and Redis to ship production SaaS at an early-stage startup.

Full-cycle Senior Account Executive (hybrid, NYC metro) responsible for prospecting, qualifying leads, cold outbound/calling, developing client relationships, structuring deals, and closing B2B SaaS sales. Requires strong communication, continuous product learning, and a preference for SaaS/VC-backed startup experience.

Lead end-to-end product design for a food-compliance SaaS: run user research, create wireframes and high-fidelity designs, build and maintain design systems in Figma, and partner with engineering and leadership to shape product direction.

Build full-stack, data-intensive AI product features across React interfaces, APIs, data models, and backend services. Develop workflows that make AI agent behavior understandable and controllable, integrate enterprise systems such as SAP, Salesforce, and Workday, and contribute to platform architecture, reusable components, code reviews, and technical decisions. Partner with product, design, data, and infrastructure teams to turn ambiguous problems into polished, reliable products.

Lead and grow a software engineering team responsible for clearing systems. Manage hiring and performance, guide architecture and design decisions, align roadmaps with product management, improve delivery and reliability metrics, establish engineering standards, shape team ownership, and oversee on-call and production support. The role requires capital markets or clearing knowledge and hands-on familiarity with modern Java-based platforms.

Lead and grow a developer experience engineering team responsible for internal platforms, CI/CD, observability, reliability, deployment tooling, disaster recovery, and production readiness. Own the platform roadmap as an internal product, improve engineering delivery metrics, define service objectives and error budgets, automate manual work, maintain architecture records, and partner with security and platform teams. The role includes hiring, performance management, reliability practice, and operating systems in a regulated financial infrastructure environment.

Design, build, deploy, and maintain AI-powered production systems directly with customers. The role spans backend services, integrations, orchestration, data pipelines, cloud infrastructure, testing, monitoring, and troubleshooting. Engineers translate ambiguous operational needs into scalable technical solutions, own deployments end to end, collaborate with Product and Core Engineering, and convert customer learnings into reusable platform capabilities. The position requires strong software engineering, applied AI, systems, infrastructure, communication, and customer-facing skills.

Build and own full-stack software for insitro’s laboratory platform, including React and TypeScript interfaces, Python services, database models, instrument and Benchling integrations, and agent runtimes. Partner with scientists, biology, automation, and machine learning teams to understand workflows and deliver useful, verifiable tools. Prototype agentic tooling, support production reliability, review code and designs, and contribute to accelerating drug development.