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 engine—surfacing 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 wouldn’t happen through cold outreach alone.
This is not traditional SaaS—Ascendancy aligns closely with client success, often working in performance-driven models where incentives are tied to real business impact.
About the Role
We’re looking for a full-time Fullstack Engineer to own and build product features end-to-end—from scoping and architecture to implementation, testing, and deployment. You’ll work across the stack using Python, Next.js, 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. You’ll 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 systems—from authentication to database design.
We’re 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, Next.js, 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
Recruiter Screen
Client TakeHome Challenge
Client Resume & Take-Home Review
Culture Interview with CEO (Kamron Palizban)
Technical Interview with Tech Lead (Noah Britt)
External Interview with Advisor (TBD)
Compensation Range: $60K - $100K