---
title: 'Staff Software Engineer at Auxia'
canonical: 'https://feeny.ai/job/staff-software-engineer-auxia-bengaluru-tpmrkbrt6q0k'
type: 'job'
last_seen: '2026-09-07'
---

# Staff Software Engineer at Auxia

- **Company:** Auxia
- **Location:** Bengaluru, India
- **Work type:** onsite
- **Posted:** 2026-02-23
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/auxia/228d9d4c-67e7-4ee2-9447-c55679b57b8e

## Job description

Software Engineer — Bengaluru, India

## About Auxia

Auxia is an agentic AI platform that helps enterprises deliver personalized 1:1 customer journeys. Our Decision Agent determines the optimal message, timing, channel, and incentive for each individual user — processing 3B+ events/day, 25K+ queries/second, and 1B+ decisions/day at sub-100ms latency. We serve global enterprises including Atlassian, The Guardian, Docomo, Comcast, Mercari, and MUFG Bank and many more across email, push, in-app, and messaging channels. Backed by $23.5M from VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners. —————————————————————————————————————————————— The Hard Problems Auxia isn't a typical SaaS platform. Here's what makes the engineering genuinely interesting: Multi-tenant ML serving at scale. A single shared platform serves 20+ enterprise customers, each with millions of users, hundreds of treatments, and unique business constraints — all at sub-100ms p99. Every architectural decision has to balance isolation, performance, and cost across customers. Real-time decisioning under uncertainty. Our Decision Agent picks the best action for each user from hundreds of options using bandits and other ML models, learning continuously from live interactions. Cold-start, exploration-exploitation tradeoffs, and feedback loops are daily problems. Enterprise data integration. Every customer brings different data formats, volumes, schemas, and infrastructure (Snowflake, BigQuery, S3, CDPs). Onboarding a new customer's data pipeline needs to be fast and reliable — we're building toward fully automated ingestion. Agentic AI systems. Our Analyst Agent autonomously builds data semantic layers, constructs and executes efficient queries, and runs complex analyses and generates insights for enterprise marketers, and generates insights for enterprise marketers. Building reliable, observable AI agents that interact with real production data is a frontier problem. What You'll Work On? Depending on your interests and strengths, you'll work across some combination of: Platform Infrastructure — Kubernetes orchestration on GCP, service mesh, deployment automation, observability (metrics, tracing, alerting), cost optimization across a multi-region platform. Data Systems — High-throughput data processing pipelines (Apache Beam/Dataflow, Pub/Sub, Airflow), BigTable and BigQuery at terabyte scale, real-time feature stores, data warehouse and reporting infrastructure. Backend Services — Kotlin/gRPC microservices, treatment recommendation and scoring engines, experiment framework, configuration management, multi-tenant authorization. ML Infrastructure — Model training pipelines (Metaflow), model serving, feature engineering automation, A/B test evaluation, diverse ML algorithms (including multi-armed bandits) in production. Frontend & Developer Experience — Next.js admin console, internal tooling, developer productivity, CI/CD pipeline optimization. Customer Integration — Forward-deployed engineering to onboard enterprise customers, building SDKs and integration tooling. Our Tech Stack Languages: Kotlin (primary backend), TypeScript/Next.js (frontend), Python (ML pipelines) Infrastructure: GCP, Kubernetes, Docker, Terraform Data: BigTable, BigQuery, Apache Beam/Dataflow, Pub/Sub, PostgreSQL Services: gRPC/Protobuf, Spring Boot ML: Metaflow, custom bandit/scoring frameworks Tooling: Gradle, GitHub Actions, Linear, Figma

## How We Work

AI-native development. We use Claude Code extensively — for code generation, architecture exploration, code review, debugging, and documentation. Engineers here ship faster because they're fluent with AI-assisted development. We're building internal AI agents to automate parts of the DS and engineering workflow. If you're excited about working at the intersection of building AI products and using AI to build, this is the place. Small team, high ownership. ~30 engineers across US, India, and Japan. No layers between you and production. You'll own systems end-to-end — design, build, deploy, monitor. Onsite. We believe the best engineering happens in-person, especially at our stage. Fast iteration, whiteboard sessions, and same-room debugging. Ship weekly, not quarterly. Ideas go to production in days, not months. We make smart tradeoffs between speed and quality — and we trust engineers to make those calls. What you bring? Strong fundamentals in distributed systems, data structures, and system design with 9-12 years of experience. Experience building and operating production backend systems — you've dealt with the messy reality of scale, not just the theory. Comfort with ambiguity. At a startup, you'll sometimes define the problem before solving it. Product instinct. You think about why something matters to the customer, not just how to build it. Bonus: Experience with Kotlin, gRPC, or Kubernetes Experience with real-time streaming (Kafka, Pub/Sub, Flink)

## Experience with ML infrastructure or recommendation systems

Prior startup experience Auxia is committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds. Interested? Email vartika@auxia.io. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

## About Auxia

## Company Overview
- **One-liner**: Auxia is the AI-native agentic marketing platform that enables enterprises to orchestrate hyper-personalized customer journeys in real time.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2022
- **Founders**: Cole Stuart (Co-Founder), Asim Krishna Prasad (Co-Founder)

## Core Business
- **Primary industry**: Enterprise marketing technology / AI-powered personalization
- **Target customers**: B2B – large enterprises (Fortune 500, Global 2000) and high-growth brands
- **Mission / purpose**: Replace fragmented marketing execution with a single, learning system that compounds performance and makes every customer interaction more effective.

## Products & Services
- **Auxia Agent Studio**: AI marketing agents that research, plan, build, QA, and ship campaigns, orchestrating work across existing tools (Braze, Salesforce Marketing Cloud, etc.). Users describe playbooks in natural language; agents handle execution and approvals.
- **Auxia Decisioning**: Real-time 1:1 decision engine that ranks the next-best experience (content, offer, channel, timing) for each visitor, using ML feature stores, model libraries, and multi-model experimentation.
- **Data & Context**: Enterprise data unified from CRM, CDP, and data warehouses into a living context graph that updates every run, powering personalization without sharing customer data externally.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Total funding – $47M (latest round: $23.5M Series A led by VMG Partners, April 2025). Over 200 billion automated decisions served.
- **Notable Investors / Partners**: VMG Partners, plus investors from prior rounds; customers include Atlassian, Comcast, The Guardian, NTT Docomo, Mercari.
- **Growth Signals**:
  - 93.6% headcount growth year-over-year (77 employees as of mid-2025).
  - Offices in Palo Alto, Bengaluru, and Tokyo.
  - SOC 2 Type II certified, GDPR compliant, enterprise-grade security.
  - Strong talent pipeline from Google, Meta, Lyft, Flipkart, and other top tech firms.

## Competitive Advantages
- **AI-native, continuously learning**: Unlike static campaigns, Auxia’s system compounds performance over every interaction, reducing the “reacquisition treadmill.”
- **Real-time, 1:1 personalization at scale**: Decision engine ranks next-best actions for every customer in real time, using enterprise data without training on customer data.
- **Agent-driven workflow**: AI agents automate months of data science and engineering work, allowing marketers to focus on strategy.
- **Privacy by design**: Customer data is never used to train external models; compliant with SOC 2, GDPR.

## Strategic Focus
- Replace legacy campaign-based marketing with an agentic, autonomous decision-making platform.
- Expand enterprise adoption by deepening integrations (Braze, Salesforce, etc.) and adding new AI agents (e.g., AI Analyst Agent for revenue insights, announced July 2025).
- Continue rapid hiring across engineering, data science, go-to-market, and operations.

## Why Work Here
- **Culture & mission**: Fast-moving, customer-obsessed team that values “rapid execution and sharp decision-making.” Team includes alumni from Google, Meta, and Lyft.
- **Work model**: Hybrid – offices in Palo Alto (HQ), Bengaluru, and Tokyo. Employees engage in a mix of remote and on-site work; specific on-site expectations vary by role.
- **Growth & impact**: Join a company that more than doubled headcount in a year, working on a platform serving 200B+ decisions for major global brands. Opportunities to shape the product and culture from an early stage.
- **Perks**: Not detailed publicly, but the company emphasizes learning, autonomy, and a supportive environment for builders.

## Sources
1. [auxia.io/about-us](https://www.auxia.io/about-us)
2. [auxia.io](https://www.auxia.io/)
3. [linkedin.com/company/auxia-io](https://linkedin.com/company/auxia-io)
4. [builtin.com/company/auxia](https://builtin.com/company/auxia)
5. [jobs.lever.co/auxia](https://jobs.lever.co/auxia)

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