Head of Engineering Productivity & Experience

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

We are looking for a Head of Engineering Productivity & Experience to lead the evolution of how software is built, tested, and delivered at AlphaSense. This is a high-impact, Director-level leadership role shaping developer experience and engineering productivity across our global ~400-engineer organization through platforms, tooling, and engineering practices. The position will initially lead teams of ~13 engineers while defining the operating model and long-term trajectory of the Engineering Productivity domain. 

Your mission will be to drive the strategy for a unified platform ecosystem that bridges AI-driven development, Developer Tooling, Web Infrastructure, and QA Automation. You will lead the evolution of platforms that enable high-confidence releases across local development, microfrontend delivery, and automated quality engineering, while shaping a seamless developer-facing CI/CD experience in partnership with SRE and Cloud Platform teams.

A core pillar of this mission is advancing the AI-assisted SDLC. You will define and implement AI-enabled tooling and workflows that measurably improve developer productivity and experience. This includes areas such as AI-assisted code reviews, test generation and coverage expansion, developer documentation, and improving the entire inner-loop development experience. The goal is to ensure AI becomes a practical accelerator in everyday engineering workflows rather than a standalone tool.

While this role is centered on organizational strategy and platform leadership, we value "player-coach" DNA. You should be a technically sharp leader who is comfortable diving into architectural reviews or getting close to the code when necessary to unblock teams or accelerate progress.

We are primarily seeking Director-level candidates, though strong Senior Engineering Managers with a proven track record of scaling DevEx or Platform organizations are also encouraged to apply.

• →Lead developer productivity and experience across AlphaSense’s engineering organization
• →Drive the evolution of developer productivity tooling, covering inner-loop development workflows
• →Define and implement a strategy for AI-driven developer productivity capabilities across SDLC
• →Own the developer-facing CI/CD experience, improving build, test, and deployment workflows
• →Build and scale QA automation platforms that enable high confidence in software delivery
• →Lead and scale web infrastructure and microfrontend delivery, enabling independent releases
• →Improve engineering velocity by reducing friction in development, testing, and delivery workflows
• →Partner with SRE, Cloud, and Product Engineering teams to improve the software delivery
• →Establish metrics and feedback loops to improve developer productivity and experience

• Several years of engineering leadership in developer productivity and experience
• Strong understanding of the software development lifecycle and modern engineering workflows
• Experience improving CI/CD developer experience
• Experience building or scaling internal developer platforms
• Experience driving test automation and quality engineering practices at scale
• Experience operating in large engineering organizations with distributed teams
• Demonstrated experience building and mentoring high-performing engineering teams
• Experience implementing AI-assisted development tooling
• Ability to lead through influence and collaboration across multiple engineering organizations
• Experience improving engineering metrics such as delivery velocity, cycle time, and CSAT

• Experience with progressive delivery
• Familiarity with cloud-native architectures and Kubernetes-based platforms
• EST or UK timezone for closer overlap with direct team members
• Familiarity with modern frontend architectures and microfrontend delivery models