Ascendancy

About Ascendancy

Ascendancy is building the future of relationship-driven growth. By combining AI with a high-touch operator-led approach the company helps founders and executives unlock the full potential of their networks.

They turn fragmented connections into a structured actionable growth enginesurfacing the right opportunities and enabling warm introductions that drive fundraising partnerships hiring and go-to-market expansion.

Operating at the intersection of AI data and human networks Ascendancy works closely with high-growth startups and top-tier operators to accelerate outcomes that wouldnt happen through cold outreach alone.

This is not traditional SaaSAscendancy aligns closely with client success often working in performance-driven models where incentives are tied to real business impact.

About the Role

Were looking for a full-time Fullstack Engineer to own and build product features end-to-endfrom scoping and architecture to implementation testing and deployment. Youll work across the stack using Python and TypeScript to develop high-quality user-facing applications with a strong focus on performance security and clean design.

This role is ideal for someone who thrives in fast-paced startup environments is comfortable with ambiguity and takes full ownership of their work. Youll collaborate closely with product and design contribute to AI-driven features (including LLM workflows and agents) and help shape both the user experience and underlying systemsfrom authentication to database design.

Were looking for a proactive solutions-oriented builder with strong communication skills product intuition and a willingness to move fast and take responsibility. Experience with Neo4j and GCP is a plus.

Must-Haves

• Fluent in English with strong written and verbal communication skills

• Full-stack engineering experience across frontend and backend systems

• Startup experience; comfortable building quickly in ambiguous fast-moving environments

• Ability to own projects end-to-end from scoping through implementation testing and deployment

• Willingness to work 40 hours per week

• Experience building or integrating AI agents LLM workflows or AI-enabled products

• Strong product sense with a good eye for UX/UI and user-facing design quality

• Experience designing secure authentication authorization and database systems

• Strong proficiency with Python and TypeScript

• Experience working on public-facing platforms or production-grade user applications

• Preferred: experience with Neo4j and Google Cloud Platform

Nice-to-Haves

• Experience integrating CRM messaging email or other third-party APIs

• Familiarity with automation workflows data pipelines or relationship/network-based products

• Prior experience at an early-stage startup or as a technical founder/operator

Compensation & Benefits

• Equity

• Offsites: 3 times per year

Interview Process

1. Recruiter Screen

2. Client TakeHome Challenge

3. Client Resume & Take-Home Review

4. Culture Interview with CEO (Kamron Palizban)

5. Technical Interview with Tech Lead (Noah Britt)

6. External Interview with Advisor (TBD)

Required Experience:

IC