VisibilityStack
https://visibilitystack.aiAbout
Our Work Philosophy
We follow the Maker's Schedule, not the Manager's Schedule. This means uninterrupted blocks of deep work when you're building, and high-bandwidth collaboration when we're solving problems together.
The best technical breakthroughs happen in two modes: intense in-person collaboration where ideas bounce rapidly, and deep solo work where complex problems get solved. We protect both.
More on the Maker's Schedule here https://paulgraham.com/makersschedule.html
About Our Product
VisibilityStack helps businesses connect with people who are actively searching for the solutions they offer, both on Google Search and in the new wave of AI-powered search tools.
Our AI agents identify what your audience is looking for, create content that answers those questions, and structure it so Google and AI systems can easily understand and recommend it. We also strengthen your online credibility through strategic backlinks and a strong social presence.
About Our The Team
We are repeat founders and funded by FirstPrinciples, our parent technology holding company. We have deep expertise in digital marketing and also scaling technology companies.
Tech stack
Python
PostgreSQLCandid answers by the company
• We’re internally funded by our parent holding company, which gives us stability and the freedom to build without relying on outside investors.
• Our goal is to reach $10M ARR and a $100M valuation within 15 months. We control our pace and direction, and we only consider a strategic round if it strengthens our position.
• Because we aren’t forced to raise capital, equity stays meaningful and dilution remains low. Your ownership has room to grow in value as we scale.
• This setup lets us focus on building a great product and ensures the upside flows to the people who create it.
Company social profiles
Jobs at VisibilityStack
PythonPostgreSQLAbout VisibilityStack
VisibilityStack helps businesses connect with people who are actively searching for the solutions they offer, both on Google Search and in the new wave of AI-powered search tools.
Our AI agents identify what your audience is looking for, create content that answers those questions, and structure it so Google and AI systems can easily understand and recommend it. We also strengthen your online credibility through strategic backlinks and a strong social presence.
Everything is guided by real-time data. We focus on what works, remove what does not, and keep your content working around the clock. The result is simple: the right people can find you, trust you, and reach out when they need what you offer.
The Role
We need a Senior Engineer who ships production code that scales. You'll be the technical anchor—building critical infrastructure, solving complex problems, and mentoring junior developers through code reviews and pair programming.
You'll shape our future in four key ways: writing the code that becomes our foundation, being a key voice in engineering hiring decisions, helping establish the processes and patterns everyone follows, and having significant input on product decisions—your technical perspective directly influences what we build, not just how we build it. This isn't about managing people or writing performance reviews—it's about technical leadership through excellence.
What's in it for you:
- Own mission-critical systems end-to-end — Your code directly generates customer revenue
- Skip the politics, ship products — No layers of approval, no enterprise bureaucracy
- Shape product direction — Your technical insights influence product strategy, not just implementation
- Learn cutting-edge AI in production — Work with LLMs, vector databases, and agent orchestration at scale
- Shape technical decisions and processes — Your input matters on how we build, not just what
- Accelerated growth path — As we scale, you choose: become our technical lead or remain a deeply influential IC
- Direct founder access — Collaborate on product vision, not just execute specs
Location: Janakpuri, Delhi (Hybrid - Maker's Schedule)
Our Work Philosophy:
We follow the Maker's Schedule, not the Manager's Schedule. This means uninterrupted blocks of deep work when you're building, and high-bandwidth collaboration when we're solving problems together.
In Practice:
- In-office days: Whiteboard architecture sessions, rapid product iterations, deep dives into product strategy, complex debugging that needs three minds on one problem
- Deep work days: Uninterrupted coding from wherever you work best—home, office, or that coffee shop with perfect noise levels
- Balance by design: We optimize for both intense collaboration and deep focus
The best technical breakthroughs happen in two modes: intense in-person collaboration where ideas bounce rapidly, and deep solo work where complex problems get solved. We protect both.
Responsibilities
Technical Excellence
- Build production systems that handle millions of AI operations daily
- Write complex integrations that others can't figure out
- Solve scaling problems before they become emergencies
- Implement robust error handling and monitoring
- Own critical infrastructure components end-to-end
Architecture & Code Quality
- Design APIs that won't need v2 in 6 months
- Make pragmatic technical decisions (boring tech when appropriate)
- Help establish engineering processes—from code review to deployment
- Create patterns and standards other engineers can follow
- Lead code reviews that teach, not just critique
- Balance shipping speed with technical sustainability
Hiring & Technical Assessment
- Conduct technical interviews for engineering roles
- Design practical coding assessments that test real skills
- Provide strong input on hire/no-hire decisions
- Partner with founders on technical requirements for roles
- Help close strong candidates by selling the technical vision
Mentorship & Collaboration
- Pair with junior developers on complex problems
- Share knowledge through code reviews and documentation
- Unblock teammates when they're stuck
- Work directly with founders on technical strategy
- Partner with product team on feature design and technical feasibility
- Turn product ideas into technical specifications
- Work directly with founders on technical strategy
- Turn product ideas into technical specifications
Requirements
Must Have
- 5-7 years of software engineering experience
- Expert-level Python development skills
- Production experience with LLMs (OpenAI, Anthropic, not just prototypes)
- Built systems that scaled (and dealt with the failures)
- Strong debugging skills—you fix what others can't
- API design that makes sense to other developers
- Git workflows and collaborative development
Strong Advantages
- Previous early-stage startup experience
- Production experience with vector databases (Pinecone, Weaviate, pgvector)
- Elasticsearch or search infrastructure expertise
- Built revenue-generating AI/ML systems
- Experience with high-volume data pipelines
- Contributed to open source projects
- Informal mentorship or tech lead experience
Tech Stack
- Backend: Python, FastAPI, PostgreSQL
- AI/ML: OpenAI APIs, LangChain, Vector DBs
- Infrastructure: AWS, Docker, GitHub Actions
- Search: Elasticsearch (evaluating alternatives)
What We Offer
- Early employee equity and financial upside
- No bureaucracy—your code ships to production
- Work on genuinely hard technical problems
- Learn from and contribute to cutting-edge AI systems
- Clear growth path as the team scales
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