Website:
firstcutai.com
Job details:
About Aexy.io
Aexy — Agent Engine for eXponential Yield — is an AI-native Engineering OS — a single platform that replaces the dozen disconnected tools engineering teams juggle daily. Developer analytics, sprint planning, CRM, performance reviews, email marketing, compliance, on-call, hiring, and more — all unified under one roof, with AI agents woven into every layer.
Every module in Aexy is augmented by AI — agents that auto-generate developer skill profiles from commit history, summarize sprint health, draft performance reviews, score leads in the CRM, write and optimize email campaigns, surface compliance risks, and orchestrate multi-step workflows autonomously. This isn't "AI as a feature." It's AI as the operating layer — agents that observe, reason, and act across the entire platform so engineering teams spend less time on toil and more time building.
We're open-source at the core, with a hosted cloud product for teams that want speed without ops overhead, and an enterprise tier for orgs running critical engineering operations at scale.
Stack: Next.js, FastAPI, PostgreSQL, Redis, Temporal, LangGraph (agent orchestration), Claude/Gemini/100+ models via OpenRouter.
The Role
You'll work directly with the founder(s) across sales, customer success, marketing, and strategy — essentially doing whatever it takes to get Aexy from early traction to repeatable growth. You'll be selling an AI-first platform to technical buyers who have seen a hundred "AI-powered" pitches — your job is to cut through the noise and show them agents that actually work across their entire engineering workflow.
This is not a siloed role. One week you'll be on a discovery call with an engineering director demoing how AI agents auto-generate performance reviews, the next you'll be writing a launch post about our agentic workflow engine, the week after you'll be mapping out pricing experiments for AI-tier features.
If you need a job title to exist before you'll do the work, this isn't the right fit. If you see a gap and fill it before anyone asks — read on.
What You'll DoSales & Pipeline
- Run outbound — identify, research, and reach out to engineering leaders at mid-market and startup companies
- Own the full sales cycle from first touch to closed deal for SMB/mid-market accounts
- Conduct product demos tailored to different personas (VP Eng, EM, IC lead) — highlight how AI agents surface insights, automate reviews, and orchestrate workflows specific to their pain points
- Build and iterate on sales collateral — decks, one-pagers, battle cards — with a strong narrative around AI-native vs. AI-bolted-on
- Track pipeline in CRM, maintain data hygiene, report weekly metrics
Customer Success
- Onboard new teams — set up their workspace, configure AI agents for their repos and workflows, run kickoff calls, drive time-to-value
- Be the primary point of contact for early customers; build relationships, not ticket queues
- Help customers unlock AI capabilities they haven't explored — agent-driven sprint summaries, automated skill mapping, AI-assisted reviews — and measure the impact
- Gather product feedback systematically (especially on AI quality and agent behavior) and relay it to the product/engineering team
- Monitor adoption metrics, identify at-risk accounts early, and intervene
- Build the playbooks — onboarding guides, health scoring, QBR templates — from scratch
Marketing & Content
- Write content that engineering leaders actually want to read — blog posts, case studies, technical comparisons, launch announcements — with a strong AI agents narrative (not hype, real demos and outcomes)
- Create content that shows AI agents in action — "before/after" workflows, agent-generated sprint reports, AI review drafts — things people can see and try, not just read about
- Plan and execute product launches (Product Hunt, Hacker News, Twitter/X, LinkedIn, dev communities)
- Manage social presence — consistent, authentic, technically credible. Position Aexy in the AI-for-engineering conversation, not just the dev tools conversation
- Run email campaigns for nurture sequences, product updates, and event invites
- Track what's working (attribution, conversion, engagement) and double down
Strategy & Operations
- Research competitors, adjacent tools, and market trends — especially the fast-moving AI agents / agentic workflow space — and synthesize into actionable briefs
- Help define pricing, packaging, and GTM experiments — including how to price AI agent capabilities (usage-based, tier-gated, etc.)
- Contribute to fundraising prep — data rooms, investor decks, metrics narratives. Frame the AI-native angle for investors who've seen a hundred "we added AI" decks
- Identify partnerships (LLM providers, integrations, co-marketing, channel) and run initial outreach
- Build lightweight internal processes — reporting cadences, OKRs, planning rituals
Who You Are
- 1–4 years of experience in a startup environment — founder's office, business ops, growth, or early-stage sales/marketing
- You write well. Concise, clear, no fluff. You can write a cold email and a blog post with equal competence
- Comfortable talking to technical buyers — you don't need to write code, but you understand why an engineering team cares about developer analytics, sprint velocity, and why AI agents that actually work across their workflow is a big deal
- Relentlessly resourceful. You Google before you ask. You ship before it's perfect. You follow up without being told
- Data-literate — you can pull numbers from a dashboard, build a spreadsheet model, and make a case with evidence
- Comfortable with ambiguity. The role will change shape every quarter. That excites you, not worries you
- Strong communication skills in English (written and verbal)
Bonus
- Experience selling or marketing developer tools / B2B SaaS — especially AI-powered products
- Familiarity with open-source go-to-market motions (community-led growth, self-serve → sales-assist)
- You've used tools like Linear, Notion, HubSpot, Posthog, or similar and have opinions about them
- You've worked at or with engineering teams and understand their workflows
- Genuine curiosity about AI agents, LLMs, and how they're reshaping developer tooling — you don't need to build them, but you should be excited about selling and positioning them
Why Join Now
- Ground floor. You'll shape how Aexy goes to market — not execute someone else's playbook
- Breadth over depth. In 12 months you'll have touched sales, marketing, CS, strategy, and ops — experience that normally takes 4 roles and 5 years
- Technical product, real problem. Engineering teams are drowning in tool sprawl. Aexy consolidates it — and AI agents make the consolidated platform smarter than the sum of its parts. The pitch sells itself when you find the right person
- AI agents are the moment. You'll be positioning and selling agentic AI when the market is still figuring out what that means. First-mover advantage in narrative and GTM
- Open source tailwind. Community adoption creates pipeline. You won't be cold-calling into the void
- Direct founder access. No layers. Your ideas get heard, tested, and shipped — fast
Compensation
- Competitive salary (benchmarked to early-stage India startups)
- Meaningful equity — you're joining early, and that should be reflected
- Flexible work setup — remote-first, async-friendly, output > hours
How to Apply
Send an email with:
- A short note on why this role interests you (not a cover letter — just be direct)
- One example of something you built, wrote, sold, or shipped that you're proud of
- Your resume or LinkedIn
No formal process. No 6-round interviews. We'll have a conversation and figure out if there's a fit.
Click on Apply to know more.