---
title: 'VP of Site Reliability at Titan AI'
canonical: 'https://feeny.ai/job/vp-of-site-reliability-titan-ai-united-states-tahcxfbwz56m'
type: 'job'
last_seen: '2026-09-10'
---

# VP of Site Reliability at Titan AI

- **Company:** Titan AI
- **Location:** United States
- **Compensation:** $200k–$250k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/titan-ai/d503a93a-ef1d-4430-b07f-7afc440d6315

## Job description

## About Titan

Titan builds AI software for banks: purpose-built small language models, a banking ontology, and AI bankers that financial institutions can trust. Our models outperform general-purpose LLMs by 30 to 80 percent on banking tasks. Customers include community banks, credit unions, and large regional and super-regional institutions. We are backed by leading fintech investors and operate under the compliance, audit, and model-risk standards that banking requires.

## Why This Role Exists

Titan is scaling from a handful of live banking customers to thirty, then to hundreds. Each bank deploys differently: Azure, private cloud, or the bank's existing infrastructure. The core problem this role solves is making the platform work consistently and reliably across all of them, managing the last-mile deployment complexity that grows with every new customer.

This is a hands-on, principal-level role. You are not coming in to build an org chart. You are coming in to do the work: write the runbooks, stand up the on-call rotation, own incident command when a bank has an outage, and build the deployment playbook that takes us from client 10 to client 350. The practices get built before the teams do.

## What You Own

Site Reliability Engineering. You build the SRE practice and operate it yourself first: SLO framework, on-call rotation, and incident command process. You write the SLOs, run the rotation, lead incident response at live bank customers, and produce the postmortems. Once the practice is stable and documented, you bring in an SRE Lead to own it and grow the function.

Production Support. Before the first support hire, you define severity tiers, SLA commitments per customer tier, and escalation paths, and you route alerts into a real queue. You are the technical accountable owner when a bank has a production incident. Once the structure works, you hire into it cost-efficiently and hand off the day-to-day to a Support Lead as customer volume justifies it.

Engineering Operations. You set the operating system across all four engineering lanes: sprint discipline, release rituals, code review standards, change management evidence, and the metrics the CEO and board read monthly. You own the SOC 2 artifacts, model risk review documentation, and the change traceability that bank examiners scrutinize.

## What You Will Not Own

- Technical direction and architecture. Owned by the CTO and Chief Architect.
- Quality engineering. QE is being built as a separate function with dedicated QE engineers and a QE Lead hired independently.
- People management of the AI Toolbelt, Product Engineering, and Banking Models lanes. Lane leads manage their own teams. You influence through process, not reporting lines.

## Who You Are

Ten or more years in engineering, with at least five years personally building SRE or platform operations functions at a software company selling into enterprise or regulated markets. You have not spent your career in internal bank IT. You come from companies that ship software to customers and operate it at scale: ServiceNow, MongoDB, AWS, GCP, or comparable. You have managed multi-tenant and multi-deployment-model infrastructure and know the last-mile complexity that comes with it.

You have written SLOs that people actually use. You have stood up an on-call rotation from nothing. You have been the technical owner during a production incident and know what it costs to not have a process. You earn trust from senior engineers without leaning on title. You see process as leverage, not overhead. You are not here to manage. You are here to build.

What Success Looks Like In your first 90 days: a diagnostic of engineering operations shared with the CEO and CTO, written SLOs on customer-facing services with a clear baseline of where performance stands, and the support triage structure defined before the first support hire. In your first six months: the on-call rotation is running, incident command has been tested in production, and the deployment playbook covers the three deployment models we operate. At one year: the platform runs reliably from client 10 to client 30 and the foundation is in place to reach 100. The operating system runs without you prompting it.

## Compensation and Structure

- Competitive base and meaningful equity.
- Atlanta, GA strongly preferred. West Coast considered on a case-by-case basis. Remote-friendly for the right candidate.
- Reports to the CEO. Peer to the CTO and the Chief Customer and Growth Officer.

## About Titan AI

## Company Overview
- **One-liner**: Titan builds a secured, auditable AI platform with proprietary banking-native models and agents purpose-built for financial services.
- **Entity Type**: Private (early-stage startup, no disclosed funding round)
- **Headquarters**: New York, NY, United States (with additional office in Greenwich, CT)
- **Founded**: 2025
- **Founders**: Arjun Sirrah (Founder & CEO)

## Core Business
- Primary industry: AI platform for banking / Financial Technology (FinTech)
- Target customers: Banks and financial institutions (B2B, Enterprise, highly regulated)
- Mission statement: Build AI that thinks like a bank – delivering explainable, auditable, and secure AI for banking operations, compliance, and credit.

## Products & Services
- **Titan Banking Platform**: A unified interface providing access to proprietary banking-small language models (SLMs), general-purpose LLMs, and built-in Banking Agents. Handles tasks like consumer credit processing, regulatory compliance, bank operations, and product inquiries. Key features include auditable chain-of-thought, human-in-the-loop workflows, role-based access control, and SOC 2 compliance. (Type: SaaS / AI Platform)
- **Titan Banking Agents**: Agentic workflows that leverage Titan’s banking models to automate reviews, exception processing, and deep research – designed to mirror how top-performing bankers reason. (Type: AI Agent / Workflow Automation)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Headcount of 14 employees (as of mid-2026) with 23.8% monthly growth; 12 active job openings.
- **Notable Investors/Partners**: Board includes **Blake Paulson** (former Acting Comptroller of the Currency). The company’s team includes former senior bank operators, OCC regulators, and AI engineers from KeyBank, Laurel Road, and other fintechs.
- **Growth Signals**: Rapid hiring (+71.4% job postings quarterly), early preference results showing 80% banking task preference over ChatGPT and 97% over Gemini 2.5 Pro, and strong domain credibility with a founding team that scaled Laurel Road to $1B+ annual originations.

## Competitive Advantages
- **Banking-native ontology**: Models are not fine-tuned general LLMs – they embed proprietary banking logic, regulatory knowledge, and credit risk reasoning from the ground up.
- **Auditability & explainability**: Full logging of prompts, chain-of-thought, and decisions – designed for examiner review and regulatory defense.
- **Security & compliance**: SOC 2 compliant, AES-256 encryption, RBAC, MFA, and a dedicated data protection layer that never uses customer data to train public models.
- **Human-in-the-loop**: AI recommends, bankers approve – preserving domain expertise and accountability.

## Strategic Focus
- Scaling enterprise sales to mid-size and large banks (evidenced by hiring Account Executives and Client Partners).
- Expanding the proprietary model’s performance lead through continuous training on banking-specific data and the Banker Trust Index evaluation.
- Growing the team across engineering (Forward Deployed, AI, QA) and go-to-market roles.

## Why Work Here
- **Culture**: Small, fast-moving startup (14 people) with deep banking expertise – you’ll work directly with former regulators, bank CTOs, and fintech veterans.
- **Engineering culture**: Emphasis on applied AI, full-stack development, and forward deployment inside customer environments. High ownership and impact – engineers build features that directly affect how banks operate.
- **Remote/Hybrid**: Not explicitly stated; HQ in New York with a Greenwich, CT office – likely in-office or hybrid for many roles.
- **Notable perks**: Opportunity to shape AI for a heavily regulated industry, work on explainable/auditable models, and learn from a team that includes a former Acting Comptroller of the Currency.

## Sources
1. [titanbanking.ai](https://www.titanbanking.ai/)
2. [titanbanking.ai/about-company](https://www.titanbanking.ai/about-company)
3. [linkedin.com/company/titan-os](https://www.linkedin.com/company/titan-os)
4. [jobs.ashbyhq.com/titan-ai](https://jobs.ashbyhq.com/titan-ai)
5. [titanbanking.ai/why-titan](https://www.titanbanking.ai/why-titan)

## Other roles at Titan AI

- [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-titan-ai-united-states-p8324tr5drnp) — United States
- [Principal Forward Deployed Engineer – Applied AI Focus](https://feeny.ai/job/principal-forward-deployed-engineer-applied-ai-focus-titan-ai-united-states-nsjm6vhbvz5x) — United States
- [Forward Deployed Engineer – Applied AI Focus](https://feeny.ai/job/forward-deployed-engineer-applied-ai-focus-titan-ai-united-states-c4qbvw2dmdeb) — United States
- [Forward Deployed Engineer – Product Focus](https://feeny.ai/job/forward-deployed-engineer-product-focus-titan-ai-united-states-332mrmvkk44g) — United States
- [QA Engineer](https://feeny.ai/job/qa-engineer-titan-ai-united-states-zqxcc90qxaa4) — United States
- [Lead QA Engineer](https://feeny.ai/job/lead-qa-engineer-titan-ai-united-states-wvejvm0gv5z3) — United States
- [AI Platform Analyst](https://feeny.ai/job/ai-platform-analyst-titan-ai-united-states-jt9kxwf85kd7) — United States
- [Client Partner](https://feeny.ai/job/client-partner-titan-ai-united-states-mvzhhbxcvtw5) — United States
- [Senior Solutions Engineer](https://feeny.ai/job/senior-solutions-engineer-titan-ai-united-states-jkykfr5vzagq) — United States
- [Account Executive, Enterprise](https://feeny.ai/job/account-executive-enterprise-titan-ai-united-states-axx9hcac2tdh) — United States