Member of Technical Staff, TLM, Internal Tooling

Profound•San Francisco, CA

3d•$230,000 - $275,000•Onsite

About The Position

Profound is hiring a Technical Lead Manager to build and lead its Internal Tooling team in San Francisco or New York City. The team will create applications, integrations, and AI-powered workflows that help teams across the company work with less manual effort. This is a hands-on leadership role responsible for technical direction and delivery, as well as hiring, coaching, and developing engineers. The role partners with GTM, Data, Security, and Operations to rethink workflows around AI, turn useful automations into dependable systems, and keep people in control of decisions requiring human judgment. The role sets the roadmap for internal tools and automation, builds reliable and secure systems, and establishes sound operational practices, including ownership, monitoring, access controls, support expectations, evaluation, human review, and fallback paths. It also involves prioritizing requests, deciding whether to build, buy, or reuse systems, and contributing directly through system design, code reviews, debugging, and engineering work. This is an on-site role in the San Francisco or New York City office.

Requirements

Experience as an engineer and technical leader who has built and operated production applications and integrations.
Strong experience with TypeScript and Python, including writing and operating production code.
People leadership experience, including hiring and developing engineers, giving direct feedback, and building a high-performing team.
Experience working with internal stakeholders to understand workflows and turn ambiguous needs into useful products.
Ability to identify opportunities to redesign work around AI rather than merely automate existing steps.
Ability to lead across architecture and implementation, with practical judgment about where AI adds value and how to balance speed, reliability, security, and maintenance.
Ability to prioritize competing requests and communicate clearly with technical and non-technical partners.
Thoughtfulness about operating production systems, including testing, observability, access controls, and incident response.
Ability to thrive in a startup environment that values speed, iteration, and quality.

Nice To Haves

Experience building internal tools, business applications, or automation for GTM and Operations teams, including LLM-powered applications or agent workflows.
Experience with Rust.
Experience with cloud infrastructure, data pipelines, and integrations with tools such as Salesforce, Snowflake, and Slack.
Experience taking ownership of systems built across multiple teams and bringing them onto a shared operational foundation.
Experience building a new engineering team or function.

Responsibilities

Build and lead a team of engineers, including hiring, coaching, feedback, and career development.
Set the roadmap and technical direction for internal tools and automation, balancing immediate business needs with reliability and long-term maintainability.
Design and build internal applications, integrations, and AI-powered workflows that help teams operate more effectively.
Work with GTM and other internal partners on systems such as lead routing, data enrichment, and operational workflows, using LLMs and agents where they improve outcomes.
Bring existing internal systems onto a reliable, secure foundation with clear ownership, monitoring, access controls, and support expectations.
Build evaluation, human review, and fallback paths into AI-powered workflows.
Decide when to build, buy, or reuse existing systems, and reduce duplication where appropriate.
Establish an intake and prioritization process so the team can focus on high-impact work.
Stay hands-on through system design, code reviews, debugging, and engineering contributions.
Own the health of the team's systems, including incident response and sustainable operational practices.