This role is designed for mid-level technologists with 5 to 8 years of experience who want to move from pure engineering into a strategic, customer-facing role.

This role is designed for mid-level technologists with 5 to 8 years of experience who want to move from pure engineering into a strategic, customer-facing role. The ideal candidate has a strong background in software architecture and distributed systems, paired with at least 2 years of experience in a client-facing capacity. You should be proficient in modern languages like Python, Node.js, or Java and feel comfortable advising both startups and enterprise giants on their data strategies. The position offers a competitive salary range of $125k–$178k plus equity and robust benefits, including 20 weeks of parental leave. Based in San Francisco under a hybrid model, this role provides high growth potential in the AI and cloud space. You’ll gain deep expertise in MongoDB’s ecosystem (Atlas, Vector Search) and master sales methodologies like MEDDPICC, making this an excellent career pivot for developers who enjoy storytelling and problem-solving over heads-down coding. **You might be a good fit if you:** * Have a strong grasp of distributed systems and can whiteboard complex application architectures. * Enjoy "showing rather than telling" through technical demos and Proof of Values (PoVs). * Are comfortable traveling up to 25% to meet with clients and attend industry events. * Want to work at the intersection of NoSQL databases and Generative AI.

Pre-Sales Solutions Architect at MongoDB