Top Tech Jobs & Startup Jobs in Boston, MA

Build and ship production AI features (LLM agents, tool/function calling, RAG pipelines) and reliable backend services. Implement observability, tests, rollback/fallbacks, and evaluation to keep models grounded, safe, and cost-effective. Collaborate with product, design, and GTM; run experiments and raise engineering standards.

Lead outbound enterprise sales into national nonprofit accounts: map complex organizations, secure C-level meetings, manage full sales cycle, structure and negotiate bulk software licensing deals, tailor enterprise value propositions, and maintain CRM pipeline and forecasts to close and expand multi-chapter and foundation partnerships.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

As a Customer Enablement Manager, you will create educational materials, drive customer engagement, advocate for customer needs, and improve onboarding and retention.

Lead and mentor engineering teams, drive technical planning and execution, focus on AI product features, and promote a collaborative culture.

As a Growth Account Executive, you'll onboard and consult with nonprofit clients, helping them leverage Instrumentl's SaaS platform for fundraising success. You'll communicate regularly, follow up with prospects, and provide feedback to improve user experience.

As the Senior Content Marketing Manager, you'll oversee Instrumentl's content ecosystem, driving SEO growth, editorial vision, and full-funnel content strategies.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

The RevOps Manager will manage marketing data infrastructure, integrate systems, implement AI tools for marketing, and support growth initiatives. They'll ensure data quality and reporting while collaborating with various teams for smooth operations.