Technical Project Manager.
Run delivery for 15–25 backend, frontend, and AI engineers building construction
tech and CAD drawing-automation software — with structural engineers on one
side of you and the codebase on the other.
FULL-TIME
MANAGER · 7+ YRS
Engineering — Delivery & Program Management
TEAM YOU’LL RUN
15–25 engineers · Backend · Frontend · AI
LOCATION
India
EXPERIENCE
6–7 yrs min · 4+ yrs managing engineers
WORK MODE
Hybrid
DOMAIN
ENGAGEMENT
AEC · CAD / BIM automation · Multi-tenant SaaS
About BuildTwin
BuildTwin is a multi-tenant SaaS platform that runs the day-to-day operations of construction
and infrastructure companies — their workforce, projects, commercials, and documents — on a
single system. Alongside it we build an AI drawing-automation platform that turns structured
element data into production-ready technical drawings and exports them to PDF and DXF.
Both products are built by a small, senior engineering group in India: backend engineers on an
AWS serverless platform, frontend engineers on Angular and React, and AI engineers working
on drawing generation and data extraction. Sitting next to them — not in another building, not
in another timezone — are the structural and detailing engineers who define what a correct
drawing actually is.
That adjacency is our biggest advantage and our hardest coordination problem. This role exists
to make it work.
Role overview
We are hiring one Technical Project Manager to own delivery across our engineering teams in
Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and
you will be the person who turns requirements originating with our structural and detailing
engineers into scoped, sequenced, shipped software.
This is a technical role. You will not be handed a groomed backlog and asked to move cards
across it. You will sit in the design discussion and have a view on how and when — you will
push back on an approach that will not scale, ask why a trade-off was made, and know the
difference between a two-day change and a two-sprint one. You are not expected to write
production code. You are expected to read it, understand the system, and never be the least
informed person in a technical conversation you are chairing.
The centre of gravity of this job is the floor, not the calendar. Most of your day is
spent with the people building and the people specifying — closing the gap between what a
domain expert means and what an engineer can implement deterministically. Status
reporting is a by-product of doing that well, not the job itself.
What you’ll own.
Delivery ownership
Own the end-to-end delivery plan for every active workstream — scope, sequence,
dependencies, capacity, and dates that actually hold.
Break large, ambiguous product intent into engineering-sized increments with explicit
acceptance criteria, agreed with the people who will build them.
Run the operating cadence: planning, standups, refinement, demos, and retrospectives that
change something the following week.
Maintain one honest view of status — on track, at risk, slipped, and why — visible to the
founders and to the team at the same time.
Manage cross-team dependencies between backend, frontend, AI, and drawing-automation
workstreams so no team idles waiting on another.
Surface risk early, quantify it, and arrive with options — never an escalation without a
proposal.
Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not
now when a plan cannot take more.
Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post
release verification included.
Own and improve the delivery metrics that matter: cycle time, predictability of committed
scope, defect escape rate, and rework.
Run the release calendar across two products so neither becomes the permanent second
priority.
Technical partnership
Participate substantively in technical discussions on design, sequencing, and trade-offs —
and hold your own with senior engineers.
Understand the architecture well enough to reason about blast radius: what a schema
change touches, why a migration is risky, why an API contract must be agreed before two
teams start.
Challenge estimates that look wrong in either direction, and recognise when an estimate is
uncertain because the problem is still unclear.
Translate technical constraints into decisions leadership can act on, and business constraints
into direction engineers can act on.
Keep testing, observability, and debt-reduction work on the plan instead of losing to features
every single quarter.
Insist that decisions get written down — architecture choices, drawing rules, API contracts,
and the reasoning behind each.
Stay close to the artefacts: read the tickets, the design docs, the PR titles, and the incident
write-ups.
Chair technical discussions where the outcome is a decision with an owner and a date, not a
longer discussion.
Shubham Vishwakarma
Full Stack Developer - Averlon
About J&F
About
At J&F, we are a globally established engineering consultancy with over 500 engineers and detailers across five countries, delivering high-quality engineering solutions for buildings and infrastructure projects. We specialize in BIM-enabled Structural and MEP engineering, combining deep technical expertise with digital innovation to help clients execute complex projects efficiently, accurately, and at scale.
Through our two core business lines—Virtual Technical Office and End-to-End Engineering Solutions—we provide tailored engineering support as well as fully integrated project planning and supervision. By partnering closely with our clients, we deliver sustainable, cost-effective, and technology-driven solutions across a wide range of sectors, ensuring engineering excellence throughout every stage of the project lifecycle.
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Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.
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Perform data analysis required to solve data related issues and assist in the resolution of data issues.
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Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.
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3-6 years of relevant work experience in a Data Engineering role.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Experience building and optimising data pipelines, architectures and data sets.
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Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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Strong analytic skills related to working with unstructured datasets.
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Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.
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· Make sense of the product specs, be nimble in getting the issues resolved. Be a thought leader. · Solid understanding and knowledge of Java/C/C++. You should understand the concepts of multithreading, I/O, messaging, instrumentation etc and their implementation in Java/Any other Object-Oriented Language.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon