Senior Sales Engineer

Join Our Mission to Transform How Engineering Works

After years of record growth, we're building the next generation of our sales engineering team. We're looking for Sales Engineers who don't just sell software, but who think like operators, move like entrepreneurs, and use AI as a force multiplier in everything they do.

We build the platform that helps engineering leaders make smarter decisions. The best person to sell that? Someone who already thinks that way.

What You’ll Do

• Own the Technical Win – Partner with Strategic and Enterprise Account Executives to lead technical discovery, tailor high-impact demos, and design proof of concepts that showcase the value of Jellyfish to CTOs, VPs of Engineering, and other senior leaders.

• Drive Strategic Engagements – Translate business pain into technical solutions, leading executive-level conversations that connect R&D operations to business outcomes.

• Mentor and Elevate – Share best practices and coach peers across Sales Engineering and GTM to continuously raise the bar on execution and effectiveness.

• Build and Refine the Playbook – Help define scalable pre-sales processes, improve demo environments, and develop assets that make it easier for the team to win consistently.

• Close the Feedback Loop – Collaborate closely with Product and Engineering to represent the voice of the customer and influence the roadmap with insights from the field.

• Bring AI Into the Conversation – Help customers envision how AI-powered engineering intelligence, automation, and predictive insights can improve developer productivity, planning accuracy, and strategic decision-making.

What You Bring

• Enterprise Experience – Proven success leading complex B2B software evaluations within Enterprise and Fortune 500 accounts.

• Technical Proficiency – Strong understanding of software development lifecycles, engineering tools, and metrics (bonus if you’ve sold to the CTO / VP Eng persona).

• Executive Presence – Excellent communication and presentation skills, especially with technical and business stakeholders alike.

• Autonomy & Initiative – Thrives in fast-moving, ambiguous environments and takes ownership to make things happen.

• Leadership – Experience mentoring or guiding other SEs or cross-functional partners.

• Team First – Humble, collaborative, and motivated by shared success rather than individual credit.

Bonus Points

• Experience in SPICED, MEDDICC, or other consultative sales methodologies

• 7+ years in enterprise software pre-sales, ideally at a high-growth startup

• Familiarity with DevOps, Agile delivery, or Engineering Productivity platforms

Why You’ll Love Working Here

At Jellyfish, we’re pioneering the Engineering Management Platform category—helping organizations align engineering decisions with business priorities, enhanced with AI-driven insights. You’ll be part of a company that values humility, curiosity, performance, and fun.

We’re a team that believes in:

• Building something that matters, together

• Learning fast, staying adaptable, and celebrating wins

• Balancing ambition with humor

A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.

Occasional travel may be required.

Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance.