Listing unavailableEngineeringOn-site

Staff Software Engineer

Titan · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

Source: the employer's Ashby job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model: On-site
Salary: Not listed by source
Location: New York City, San Francisco
Occupation: Software Developers(O*NET 15-1252.00)

What the role asks for

What you'd do

Design, build, and maintain scalable backend systems that power AI-driven automation.
Develop APIs and services that integrate AI models into customer-facing applications.
Collaborate with AI and frontend engineers to integrate our AI-powered platform into customer-facing tools.
Drive technical decisions around system architecture, scalability, and best practices as we scale.
Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment.

What they're asking for

4+ years of software engineering experience, with expertise in building and scaling web services.Experience
Strong proficiency in Python, Node.js, or Go, with experience in cloud-based architectures (AWS, GCP, or Azure).Skill
Familiarity with AI/ML-driven systems or real-time data processing is a plus.SkillPreferred
User-focused builder - you care deeply about the customer experience and sweat the details.Skill
Startup mindset - comfortable with ambiguity, eager to take ownership, and ship quickly.Skill
Bonus: Experience integrating LLMs, AI-powered automation, or observability tools is a plus, but not required.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

STAFF SOFTWARE ENGINEER About Titan: Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we’ve raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry’s top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role: As a Staff Software Engineer at Titan, you’ll play a pivotal role in shaping the future of AI-powered IT service delivery. You’ll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale. What You Will Do: - Design, build, and maintain scalable backend systems that power AI-driven automation. - Develop APIs and services that integrate AI models into customer-facing applications. - Collaborate with AI and frontend engineers to integrate our AI-powered platform into customer-facing tools. - Drive technical decisions around system architecture, scalability, and best practices as we scale. - Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment. Who You Are: - 4+ years of software engineering experience, with expertise in building and scaling web services. - Strong proficiency in Python, Node.js, or Go, with experience in cloud-based architectures (AWS, GCP, or Azure). - Familiarity with AI/ML-driven systems or real-time data processing is a plus. - User-focused builder - you care deeply about the customer experience and sweat the details. - Startup mindset - comfortable with ambiguity, eager to take ownership, and ship quickly. - Bonus: Experience integrating LLMs, AI-powered automation, or observability tools is a plus, but not required.

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