Founding Full-Stack Engineer - Takt
Company: Pear VC
Location: Palo Alto
Posted on: April 1, 2026
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Job Description:
About Takt Our Vision : A world where factories think. Takt is
building the brains of factories. Factories have spent the last
decade digitizing: adding sensors, software, and dashboards
everywhere. Yet most factories aren’t meaningfully smarter. Data is
fragmented across disconnected systems, locked in reports, and
dependent on tribal knowledge living in people’s heads. The hard
problem isn’t collecting data, it’s turning it into institutional
intelligence. Takt is building the brains of factories. We’re
closing the loop from data ? information ? insight ? action by
orchestrating AI agents with deep operational context across the
entire manufacturing stack. These systems reason about what’s
happening, why it’s happening, and what to do next, acting as a
continuous thought partner to factory leadership across sales,
operations, supply chain, and finance. This is not a chatbot or
another analytics layer. We’re pushing the frontier of AI reasoning
and decision-making in real-world, high-stakes environments. Just
as Tesla redefined the car as a software-first system, Takt is
redefining manufacturing as a software-defined industry. Funding
Takt is funded by Pear VC (backed Doordash, Gusto) and is part of
the PearX accelerator program. Website: www.taktconnect.com
Founders Takt was founded by Adhitya Raghavan (CEO) and Will Zunker
(CTO). Adhitya is from a small village in South India and first
learned about factories by working as an operator on his father’s
shop floor. His journey through squash took him to Princeton
(Mechanical & Aerospace Engineering), Harvard (MBA, Baker Scholar),
and Bain. Now, he’s bringing it full circle, building Takt to solve
the very pain he experienced firsthand in factories and aiming to
put a dent in the $8 trillion of waste that occurs in manufacturing
globally. Will an MIT PhD has deep experience in optimizing
manufacturing processes through physics-based modeling and AI,
driven by a belief that advanced methods can fundamentally
transform how things are made. Along the way, he built open-source
tools and collaborated with engineers across diverse manufacturing
sectors, learning firsthand the challenges of waste and
inefficiency on the factory floor. Now, at Takt, he’s channeling
that journey into building technology that helps factories run
smarter, faster, and with less waste. Core Cultural Values Stupid
enough to make our dreams a reality: We are dreamers who build a
better world. We own our decisions. We have the irrational belief
and hunger to work until our dreams are a reality The last one
standing: Every single person takes ownership of their work with a
gritty resourcefulness and dares to fight for it with every ounce
of their energy. Insatiable curiosity: Its always day 1 and we are
an empty cup, a dry sponge ready to learn. Approaching every action
with humility and scientific rigor and adopting a Kaizen mindset.
The best F1 team in the stadium: We win together and lose together;
every person plays a crucial role to win the race. We have high
expectations, trust our teammates and create the environment for
everyone to shine. In the path the victory, we celebrate every
small professional and personal win cherishing the journey Role
Founding Full Stack Engineer Location : San Francisco, in person 4
to 5 days a week. Open to candidates willing to relocate. Hours :
50 to 70 hours per week with space for personal interests
Compensation : 120-180K Equity : To be discussed (0.5-1%) Prior
experience : 2-3 years minimum You will be the first engineering
hire and will work directly with the founders to build the core
intelligence engine that powers modern factories. You will help
design, build, and deploy systems across the entire stack and
influence the earliest product, infrastructure, and architecture
decisions. This role is for someone who wants deep ownership and
real long-term impact. Core Technical Requirements Experience
deploying and maintain full stack production grade code at scale to
support 50-100 enterprise customers with minimal downtime Strong
cloud infrastructure skills (Azure preferred). Deep experience with
data pipelines, especially cleaning messy, inconsistent real-world
data AI-native in approach to coding utilizing new-age tools (e.g.
Claude Code) to develop with speed. Strong generalist coding
skillset especially on the back-end side. Nice to have Experience
shipping production AI/ML or LLM systems end-to-end (not research
prototypes). Comfortable owning LLM tool orchestration, chain
design, agent delegation, prompt engineering, and evaluation
methodology. Hands-on experience integrating with enterprise
systems like ERP, MES, and other data historians (Microsoft
Business Central/ SAP) Working knowledge of relational SQL
databases Familiarity with per missioning models, data governance,
or SOC2/GDPR. Experience engaging with IT teams and meeting
security requirements for enterprise customers. Mindset & Work
Style Strong sense of agency and ownership: comfortable making fast
decisions and revising them. Shipping and moving quickly, makes
practical choices, and delivers value to customers Willing to learn
and can get things done, even if they don’t know it from the get-go
Thrives with incomplete information Passion for the product: speaks
their mind, contributes ideas, and pushes for the best solution
Long-term commitment to the mission, we are building foundational
systems, not short-lived features. This means putting in the hours
consistently and also making harder short term decisions for long
term benefits
Keywords: Pear VC, Napa , Founding Full-Stack Engineer - Takt, Engineering , Palo Alto, California