Top Tech Jobs & Startup Jobs

Provide legal counsel for global consumer fintech product development and launches. Advise product, engineering, compliance, and marketing teams on financial services regulations, consumer protection, payments, stored value, and product risks. Translate complex or unclear legal requirements into actionable guidance, coordinate with outside counsel, support regulatory interactions and audits, and maintain trusted relationships with global cross-functional teams.

Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.

Shoot short-form video at Helaina’s New York office, especially founder, team, lab, production, and company culture content. Direct simple on-camera setups, edit footage into caption-ready assets for Instagram and LinkedIn, maintain organized shot logs and asset libraries, and develop content ideas under marketing direction. Review product claims and study-related content before publication. The role requires independent execution, scheduling flexibility, and comfort directing the CEO.

Leads GumGum’s product and solutions marketing function, shaping go-to-market strategy, positioning, launches, portfolio messaging, vertical campaigns, case studies, sales enablement, and training. Partners with Product, Sales, Client Services, and Marketing leadership while managing and developing an established team of marketers. Translates complex advertising technology into compelling commercial solutions and influences product roadmaps through market feedback and competitive intelligence.

Sell Comcast Internet, data, video, and voice services to small and mid-size businesses. Develop territories, prospect new customers, build local partnerships, conduct consultative sales presentations, manage a qualified pipeline, and achieve or exceed sales quotas. The role focuses on advanced communications solutions such as PRI, Hosted PBX, and multi-location services while coordinating with technical and support teams to ensure customer satisfaction and revenue growth.

Conduct inbound telesales to small and mid-size business customers, meeting sales quotas while recommending bundled connectivity, communications, networking, cybersecurity, wireless, and managed solutions. Manage prospects from initial call through close, maintain accurate CRM records, provide consultative guidance, address customer needs, and resolve or escalate issues. Stay current on products, competitors, and emerging technologies while supporting new sales tools and incentives. The role requires punctual attendance, variable scheduling, nights, weekends, and overtime as needed.

Sells Comcast Business internet, video, and voice services to mid-size and large businesses. Develops territories through prospecting, cold calling, partnerships, referrals, and customer relationships. Delivers sales presentations, negotiates with prospects, meets financial and unit targets, supports retention, maintains sales records, and collaborates with internal teams to ensure service quality. Requires knowledge of business networking technologies, including VoIP, LAN, MAN, WAN, VPN, Ethernet, and related infrastructure.

Develop and maintain Python data pipelines to produce business data objects supporting applications. Build and deploy CI/CD pipelines, implement source-to-target mapping as pipeline code, and perform unit and integration testing. Solve complex application problems, interpret design requirements, uphold software quality standards, and mentor team members. Work onsite in Chicago or Peoria, IL.

Own the sensor system architecture for autonomous machine platforms. Define sensor selection and integration strategies, evaluate the Data Collection Kit, resolve coverage and data-quality gaps, and establish requirements for interfaces, drivers, networking, synchronization, mounting, cabling, environmental protection, diagnostics, and serviceability. Collaborate with suppliers and cross-functional hardware, software, machine platform, edge platform, and data collection teams to deliver reliable perception data streams.

Develop simulation logic, behavioral models, high-fidelity 3D scenes, and digital-twin experiences using NVIDIA Omniverse and C++/Python. Validate models through test-data correlation, scenario and regression testing, and real-world telematics data. Build tooling, automation frameworks, modular libraries, and integrations across simulation platforms and external engines. The position requires onsite work five days per week, with relocation available.

Own adoption, retention, renewals, and expansion across 100–200+ scaled accounts. Build lower-touch customer success programs, health scoring, playbooks, reporting, automation, lifecycle triggers, and operational cadences. Partner with RevOps, Marketing, Engineering, Product Support, and Product to improve customer outcomes and segment visibility. Create scalable onboarding, webinars, office hours, documentation, self-service resources, and success plans.

Software Engineering interns contribute to production features, applications, APIs, services, data ingestion pipelines, and machine-learning-enabled products. They participate in code reviews, deployment, observability, infrastructure as code, and production-readiness practices while collaborating with experienced engineers. Interns work in person from the Cambridge headquarters or New York City office and receive opportunities for technical learning, exploration, and cross-team development.

Develop and test machine learning models, pipelines, agentic systems, and LLM-powered applications under senior-engineer mentorship. Interns will work across the ML lifecycle, including problem framing, model selection, pipeline development, evaluation, and deployment support. The role involves collaborating with ML Engineers, Product Managers, Designers, and Full-Stack Engineers on scalable AI solutions.

Build and evaluate machine learning models, agentic systems, LLM applications, and pipeline components under senior-engineer guidance. Interns will gain experience across the ML lifecycle, including problem framing, model selection, development, evaluation, and deployment support. The role involves collaborating with ML Engineers, Product Managers, Designers, and Full-Stack Engineers on scalable AI solutions.

Designs, implements, and operates enterprise identity and access management solutions for workforce, member, third-party, and non-human identities. Responsibilities include authentication, authorization, identity governance, privileged access management, threat detection, compliance, resilience, automation, and Zero Trust strategy. The role partners with engineering, security, risk, legal, compliance, and business teams; leads vendor evaluations and governance activities; supports audits; and communicates identity risk and architecture decisions to executives.

Leads AI-driven revenue enablement programs for sales teams, using call, CRM, pipeline, and performance data to identify execution gaps and build workflows that improve rep productivity and behavior. Owns product launch enablement, everboarding, skills development, manager coaching, certifications, and process adoption. Measures impact through adoption, win rate, ACV, pipeline conversion, ramp time, and productivity metrics while partnering with Sales, Product Marketing, RevOps, and senior executives.

Leads index research and develops thought leadership for Morningstar Indexes. The description provides limited role-specific responsibilities, but the position likely oversees research-driven content, insights, and strategic perspectives supporting the organization’s indexing business and external audience engagement.