At a Glance
- Tasks: Lead a team building AI-native financial infrastructure for banks and credit unions.
- Company: Join an innovative AI startup transforming the banking industry.
- Benefits: Competitive salary, premium benefits, equity package, and a stellar team.
- Other info: Be one of the first engineering leaders shaping the future at Saris AI.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge AI technology.
- Qualifications: 7+ years engineering experience, 2+ years managing teams, strong technical skills.
The predicted salary is between 80000 - 100000 β¬ per year.
About Saris AI. We're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what's possible with multi-turn AI agentic systems.
Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers. We've shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we're scaling up fast and looking for deeply technical builders who want to have outsized impact early.
Your mission is to:
- Lead a product engineering team building AI-native financial infrastructure for banks and credit unions.
- Own delivery, engineering quality, and the operating cadence for your team.
- Scale the team by hiring, onboarding, and ramping engineers to achieve a consistently high.
- Develop engineers through regular coaching, direct feedback, and individualized growth plans that help people level up and take on bigger roles.
- Partner with Product, ML, and executive leadership on technical strategy and roadmap.
- Establish engineering management best practices across sprint rituals, release processes, and incident response that the org can build on as it scales.
Who You Are:
- 7+ years of engineering experience, including 2+ years managing engineering teams in a product context.
- Strong enough technically to evaluate architecture decisions, guide trade-offs, and get into the code when it matters.
- Fluent in AI/ML systems: You understand LLM behaviour, eval frameworks, and prompt engineering well enough to guide how AI gets built into the product, not just how to use AI tools personally.
- Proven track record of developing team members.
- Execution-focus: you ship, hold the team accountable, manage scope aggressively, and don't wait for perfect information to move.
- Experience building teams or processes from scratch, not just inheriting and optimizing someone else's.
- Comfortable operating with high autonomy in ambiguous, early-stage environments where you'll wear multiple hats.
- Clear communicator who translates technical complexity for stakeholders and business context for engineers.
Bonus Points If You:
- Have shipped AI or LLM-powered systems in production, particularly in a regulated industry (financial services, healthcare, etc.).
- Have experience with eval frameworks, prompt versioning, or ML observability tooling.
- Have hired and built a team from the ground up, owning the full recruiting funnel from sourcing through close.
- Have worked in a Series A / early-stage environment where the playbook didn't exist yet.
Why Join Saris AI?
- Join us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.
- Join as one of the first engineering leaders β your decisions will define how engineering management works at Saris for years.
- Manage engineers building production AI in regulated finance β your team works with LLMs, evals, and agentic systems where outputs need to be auditable, compliant, and correct.
- Competitive compensation with premium benefits and equity package.
- Work with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).
- We already have production agents live with revenue-generating customers.
Engineering Manager in San Francisco employer: Saris AI
Saris AI is an exceptional employer for those looking to make a significant impact in the banking industry through cutting-edge AI technology. With a focus on employee growth, competitive compensation, and a collaborative work culture, you will have the opportunity to lead a talented engineering team in a fast-paced, early-stage environment where your contributions will shape the future of the company. Join us to be part of a pioneering journey that not only challenges the status quo but also offers unique advantages such as working with advanced AI systems in a regulated sector.
StudySmarter Expert Adviceπ€«
We think this is how you could land Engineering Manager in San Francisco
β¨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Saris AI. A friendly chat can open doors that applications alone can't.
β¨Tip Number 2
Prepare for the interview by understanding Saris AI's mission and products. Show us youβre not just another candidate; demonstrate how your skills align with our goals in the banking sector.
β¨Tip Number 3
Practice your technical skills! Be ready to dive into code and discuss architecture decisions. We want to see your hands-on experience and how you tackle real-world problems.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows youβre genuinely interested in joining our team.
We think you need these skills to ace Engineering Manager in San Francisco
Some tips for your application π«‘
Tailor Your Application:Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience in leading engineering teams and your technical expertise in AI/ML systems. We want to see how your background aligns with our mission at Saris AI!
Showcase Your Impact:When detailing your past roles, focus on the impact you've made. Use specific examples of how you've led teams, delivered projects, and improved processes. We love seeing quantifiable results that demonstrate your execution-focus and leadership skills.
Be Authentic:Let your personality shine through in your application. We value clear communication and want to get a sense of who you are beyond your technical skills. Share your passion for building innovative solutions in the banking industry and how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly. Plus, itβs a great way to explore more about our culture and values before you even start the process!
How to prepare for a job interview at Saris AI
β¨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and ML systems, especially LLM behaviour and prompt engineering. Be ready to discuss how these technologies can be integrated into products, as this will show that you understand the technical landscape and can guide your team effectively.
β¨Showcase Your Leadership Style
Prepare to talk about your experience in managing engineering teams. Highlight specific examples where you've successfully developed team members through coaching and feedback. This will demonstrate your ability to lead and grow a team in a fast-paced environment.
β¨Be Ready for Technical Discussions
Expect to dive deep into architectural decisions and trade-offs during the interview. Brush up on your coding skills and be prepared to discuss real-world scenarios where you had to make tough technical choices. This will showcase your hands-on experience and technical prowess.
β¨Understand the Business Context
Familiarise yourself with the banking industry and the specific challenges it faces regarding automation and compliance. Being able to translate technical complexity into business context will set you apart and show that you can communicate effectively with both engineers and stakeholders.