Senior Software Engineer, ServiceNow
Agentic AI Harness & Quality, Moveworks
$161.3-274.2k
+ Equity (when applicable) and variable/incentive compensation
Office located in Mountain View, CA
Cloud-based digital workflows for enterprises
Posted today
Cloud-based digital workflows for enterprises
1001+ employees
Posted today
$161.3-274.2k
+ Equity (when applicable) and variable/incentive compensation
Office located in Mountain View, CA
1001+ employees
Company mission
To transform IT to revolutionize the enterprise.
Role
Who you are
- Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you
- 5+ years experience designing, building, and improving production systems, ideally at scale
- Ability to think and communicate clearly about complex engineering problems and systems
- Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
- Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
- Desire to ship at a startup pace with a high degree of ownership
- Attention to detail
- Drive to ship product improvements with production-grade code
- Strong appetite for continuous incremental wins and completing challenging projects fast
- High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI
What the job involves
- As a senior software engineer on our Agentic AI Harness & Quality team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale
- You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O
- You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI
- Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers
- If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation
- Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
- Implement frontier AI algorithms and architectures and help productionize them at scale
- Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
- Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
- Hone your craft in writing robust, extensible, readable, and performant code
- Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
- Mentor other engineers on the team in how to build, maintain, and evolve great software
- Collaborate with machine learning engineers, learn from each other, and build world-class AI systems
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7,700 customers, including 85% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in the upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15B, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time
Company HQ
Santa Clara, CA
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