Head of Engineering

Join SalesApe, one of the fastest-growing AI companies, recognised as a leader in cutting‑edge AI technology and backed by over $20 million from top VCs. We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission is to tackle inequality by empowering a huge market of non‑tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients.

It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard‑working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘brain’ of a business spinning out agent workers, freeing up time and simplifying operations, to ensure humans spend more time in real‑life interaction.

If you’re ready for intense, high‑energy, meaningful work, come make a real impact with us at SalesApe.

The Role

Unique opportunity to build and scale the technical organization from the ground up. You will be a player‑coach, leading by example with a hands‑on approach while also defining our engineering culture, technical strategy, and hiring plan. You’ll be a key partner to the CEO, leveraging our AI‑first platform to solve critical business problems and drive meaningful user outcomes. If you’re a product‑mindful leader who thrives in a fast‑paced environment and wants to own the entire engineering function, this role is for you.

Key Responsibilities & Scope

• Technical Leadership & Execution: Architect and implement the core technical strategy, setting the standards for code quality, system reliability, and security. Drive the engineering roadmap, ensuring timely and effective delivery of features and initiatives that directly impact key business metrics (e.g., conversion, booked meetings). Lead by example as a hands‑on contributor, spending a significant portion of your time writing code, conducting code reviews, and tackling complex technical challenges. Ensure platform reliability, security, and cost‑efficiency by establishing and monitoring key metrics (SLOs), implementing robust security protocols, and managing cloud infrastructure costs. Own the platform stack from CI/CD and observability to data privacy controls and LLM evaluation pipelines.
• Team Building & Culture: Scale the engineering team from four to 10+ engineers over the next 12 months by defining and executing a world‑class hiring plan. Recruit, mentor, and empower a high‑performing team of engineers, fostering a culture of ownership, continuous learning, and psychological safety. Define and implement lightweight processes and rituals that improve team efficiency without sacrificing agility (e.g., weekly planning, incident post‑mortems, clear communication channels). Establish a clear hiring bar and a fair, calibrated engineering ladder that supports both individual contributors and managers. Foster a culture of data‑driven decision‑making and technical excellence.
• Cross‑Functional Partnership: Partner with the CEO, Product Manager, and Design lead to translate high‑level business goals and user feedback into a compelling product and technology roadmap. Collaborate with go‑to‑market teams to align engineering efforts with business needs and ensure a smooth product launch process. Act as the primary technical voice for the company, communicating the vision and strategy to internal and external stakeholders.

Core Technical Competencies

• Technical Leadership & Execution: Experience with frameworks like LangGraph/LangChain or AutoGen, and a proven track record of building and managing multi‑agent workflows. Hands‑on experience with LLM‑specific observability tools like LangSmith and Langfuse for tracing, latency/cost/quality analysis, and managing evaluation datasets. A deep understanding of common LLM threats (e.g., prompt injection/jailbreak resilience) and experience implementing robust defenses, including streaming validations, PII redaction, and abuse controls.
• Backend & Infrastructure: Experience with production‑grade cloud environments, particularly AWS multi‑region deployments, and familiarity with core services like KMS, VPC, and secrets management. A solid grasp of observability tools like CloudWatch or OpenTelemetry and a history of implementing proactive cost‑control measures. Awareness of global data transfer regimes (e.g., EU/UK DPF extension) and experience implementing technical controls to ensure data residency and compliance.

Employment Type: Full‑time
Job Function: Engineering and Information Technology
Industries: Technology, Information and Internet