What they do: AI-native sales tax automation (nexus tracking, registrations, filings, remittance, reporting)
Headquarters: San Francisco, CA
Founders / leadership: Pujun Bhatnagar (CEO, co-founder) and Jeff Gibson (CTO, co-founder)
Recent financing: $18M raise reported Apr–May 2025; prior Series A rounds in 2024
Employees: 143 (reported)
Company Overview
Problem Domain
Sales tax compliance and automation for multi-state and global sellers
Industry
FinTech / RegTech / Tax Automation
Funding Track Record
Series A- May 2024
$6.0M
$6M Series A reported with a $40M valuation
Series A- Nov 2024
$4.0M
Early VC- Apr 2025
$18.0M
Reported $18M raise that placed company at ~$150M post-money valuation (coverage Apr–May 2025)
Investor Signal
“Mix of institutional and strategic investors including Link Ventures (led Series A) and Vertex (strategic minority investor and commercial partner); additional backers reported: Venture Highway, KyberKnight, Plug and Play, DeVC, and angels.”
Founders
What we do
Join the Team
Senior Technical Support Engineer (Automation & Scripting)
RemoteIN
Remote • IN
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About Kintsugi
Kintsugi is revolutionizing sales tax automation with our AI-powered platform designed specifically for e-commerce and SaaS businesses. Our solution reduces tax preparation time by 75 percent and cuts compliance costs by 50 percent, allowing finance teams to focus on strategic initiatives rather than routine calculations. As we continue to grow and disrupt the tax automation space, we're building a world-class team to help us scale with purpose.
Role Summary
At
Kintsugi
, we are scaling fast, and our internal teams need to move faster. We are looking for a
Senior Technical Support Engineer
who is passionate about "killing manual work.” You won’t just be answering tickets; you will be building the engines that make those tickets disappear.
You will identify bottlenecks in our Support and Operations workflows and write robust scripts, tools, and automations to eliminate them safely and permanently.
Responsibilities:
Required Technical Skills:
Soft Skills:
Automation Mindset:
You instinctively look for ways to eliminate manual, repetitive work.
Communication:
Able to explain technical tools and fixes to non-technical teammates.
Adaptability:
Comfortable switching contexts across tools, teams, and problem domains in a fast-moving environment.
Nice-haves:
Experience with
AWS (Lambda, S3)
, Docker, or background jobs.
Exposure to QA, data validation, or compliance-heavy systems.
Familiarity with tax, payments, or fintech platforms.
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Automation Development:
Design, develop, and maintain scripts and CLI tools (Python
preferred; Bash) to automate repetitive internal tasks and data workflows.
Tooling & Integration:
Build and maintain internal tools or “glue code” that integrate
systems such as Jira, Slack, internal APIs, and Kintsugi’s tax engine.
Database & Data Operations:
Write and execute complex SQL queries for debugging,
reporting, and safe bulk operations (with validations, dry-runs, and rollback awareness).
Root Cause Analysis:
Investigate issues reported by internal teams by tracing data
across APIs, services, and logs, and provide scripted fixes or long-term solutions.
CLI & Repo-Based Workflows:
Create scripts that run reliably from the project root,
use environment-based configuration, and follow repository conventions.
Documentation & Enablement:
Document scripts and tools so other teams can run and maintain them confidently.
Advanced Scripting:
4+ years of professional experience with
Python
(preferred) or
Node.js
, focused on automation and internal tooling.
CLI Tooling:
Experience building command-line tools (argparse or equivalent), handling inputs, flags, and clear usage/help messages.
API Mastery:
Strong understanding of REST APIs, webhooks, authentication (OAuth, API keys), and error handling.
Database Proficiency:
Expert-level
SQL
(PostgreSQL/MySQL); comfortable working with large datasets safely.
Shell & Tooling:
Comfortable with Bash/Zsh, environment variables, Make targets, and basic shell scripting.
Debugging & Systems Thinking:
Ability to read logs, trace data flow, and reason about issues in a distributed system.
Version Control:
Strong Git usage; comfortable reading and extending existing scripts and repositories.
