Responsibilities - Manage squad performance, set goals, and track progress while providing direct mentorship to foster a culture of continuous growth.
- Act as a leader, translating AI demands into scalable technical architectures.
- Partner closely with the Product team to define, prioritize, and execute the technical roadmap.
- Focus on Metrics, ensuring the engineering team provides tools and tracking for usability, conversion funnels, retention, F1, etc.
- Support high-level technical decisions and architectural guidance, ensuring the team delivers performant and optimized solutions.
- Lead people management initiatives, including 1:1s, career development, and maintaining high motivation levels within the squad.
- Optimize development processes and power users of AI for coding.
- Generate exemplary technical documentation to set the foundations for the squad's long-term success.
- These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
Requirements- Proven experience in team management (ideally 3+ years leading direct reports), with a strong track record of having direct reports in a fast-paced technology environment.
- 10+ years of experience in Software Engineering and AI Agents
- Strong delivery-oriented mindset, with experience supporting stakeholders and coordinating teams to achieve tangible business results.
- Ability to act at a high technical level, focusing on system design and problem-solving rather than just hands-on coding.
- Excellent communication and interpersonal skills to collaborate effectively with Product Managers and other cross-functional stakeholders.
- Ability to inspire and motivate a team, taking full ownership of the developers' growth and career concerns.
- Bias for action is a strong requirement
- Capacity to anticipate future architectures requirements
- These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
Our tech stackWe are technology agnostic and value candidates with diverse backgrounds. While familiarity
with the following is helpful, your willingness to learn and adapt is paramount:
- AI: Google ADK, langfuse, open AI api, Gemini Apis, etc.
- Back-end: Python, Flask/Fast, REST APIs, Redis, SQL
- Cloud: Google Cloud services (Firestore, Cloud Storage, Pub/Sub, Google Artifact Registry, Cloud Run, BigQuery, Cloud Composer, etc.)
- Infrastructure: Kubernetes, Terraform, NewRelic
What We Offer- Base: $232,000 - $280,000. Flexible depending on location and interview performance
- Initial stock options grant
- Annual performance bonus
- Health, dental, and vision plans
- 401(k) with an employer's match
- Continuous learning opportunities
- Unlimited PTO
- Paid parental leave
- Empowering opportunities for growth in a dynamic entrepreneurial environment
CompensationThe base pay range for this role is $232,000 - $280,000 per year.
