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Non Engineering Jobs (NOW HIRING)

Plaid Inc

Senior Software Engineer - AI Tooling

New York, NY · On-site

$190K - $262K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

You will act as the engineering point of contact embedded with non-engineering teams, running discovery and translating their operational needs into shipped software. What you build here becomes how ...

Plaid

Senior Software Engineer - AI Tooling

Manhattan, NY · On-site

$135K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

You will act as the engineering point of contact embedded with non-engineering teams, running discovery and translating their operational needs into shipped software. What you build here becomes how ...

The Timberline Group

Engineering Tech Lead

Saint Louis, MO · On-site +1

$99K - $131K/yr

Collaborative and candid with non-engineering stakeholders * Highly flexible and able to work within a fast-moving environment Qualifications: * 7 to 10 years of experience building software in roles ...

Jobtailor

Senior Engineer

Pittsburg, CA · On-site

$120 - $190/hr

Valid Driver's License (NON CDL) * Bachelor's degree in Engineering (non-Engineering Technology), OR Master's degree in Engineering * At least one degree (Bachelor's or Master's) must be from an ABET ...

H R PUNDITS INC

Infrastructure Engineering

Carnegie, PA · On-site

$100K/yr

Coordinate with a wide range of cross-functional partners -- including researchers, engineers, and non-technical stakeholders -- to keep operations running smoothly. Must Have Skills: Must be able to ...

PayZen

Senior Software Engineer

San Francisco, CA · On-site

$190K - $225K/yr

Create Clarity Through Writing Create clarity through writing that stakeholders can act on, communicate tradeoffs to non-engineering partners, and align the people closest to your work. Give Feedback ...

PayZen

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Create Clarity Through Writing Create clarity through writing that stakeholders can act on, communicate tradeoffs to non-engineering partners, and align the people closest to your work. Give Feedback ...

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Non Engineering information

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How much do non engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for non engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is a non engineering job?

A Non Engineering job refers to a role that does not require an engineering degree or technical expertise in engineering disciplines. These jobs can be found in various fields such as marketing, finance, human resources, sales, and administration. They focus on business operations, management, customer support, and other non-technical functions that support an organization's overall goals. Many Non Engineering jobs require strong analytical, communication, and problem-solving skills.

What are the key skills and qualifications needed to thrive in a non engineering role, and why are they important?

To excel in a non-engineering role, candidates generally need strong organizational, communication, and problem-solving skills, along with relevant educational qualifications such as a bachelor's degree in their field. Familiarity with office productivity software, project management tools, or specialized systems related to the specific industry can be important. Strong interpersonal skills, adaptability, and teamwork help individuals stand out in these diverse roles. These abilities ensure effective collaboration, efficient workflow, and the achievement of organizational objectives across various business functions.

How do non engineering roles typically collaborate with engineering teams in a technology company?

Non-engineering professionals—such as project managers, marketers, or business analysts—often work closely with engineering teams to translate business goals into technical requirements, coordinate project timelines, and ensure effective communication. They act as a bridge between technical and non-technical departments, facilitating feedback, clarifying objectives, and helping to prioritize features or deliverables. This collaboration is essential for aligning product development with customer needs and organizational strategy, and it frequently involves regular meetings, progress updates, and cross-functional teamwork.

What is the difference between Non Engineering vs Mechanical Engineering?

AspectNon EngineeringMechanical Engineering
Required CredentialsVaries widely; often includes degrees in business, arts, or sciencesBachelor's degree in Mechanical Engineering or related field, professional licensure often preferred
Work EnvironmentOffice settings, administrative roles, project management, salesDesign labs, manufacturing plants, technical workshops, engineering offices
Employer & Industry UsageUsed across diverse industries like finance, marketing, education, healthcarePrimarily in manufacturing, automotive, aerospace, energy, and product design

Non Engineering roles encompass a broad range of professions that do not require engineering-specific credentials, often focusing on management, administration, or creative fields. Mechanical Engineering is a specialized technical discipline involving design, analysis, and manufacturing of mechanical systems. While Non Engineering roles are more diverse in credentials and work environments, Mechanical Engineering requires specific technical education and is more industry-specific. Understanding these differences helps job seekers identify suitable career paths based on their skills and interests.

More about Non Engineering jobs

What cities are hiring for Non Engineering jobs?

Cities with the most Non Engineering job openings:

What states have the most Non Engineering jobs?

States with the most job openings for Non Engineering jobs include:

What job categories do people searching Non Engineering jobs look for?

The top searched job categories for Non Engineering jobs are:

Non Engineering jobs near you
Infographic showing various Non Engineering job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Manager, AI Engineering - AI & Business Tech Engineering

DigitalOcean

Boston, MA • On-site

Other

Re-posted 8 days ago

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Manager, AI Engineering who is passionate about transforming the way a global company operates with AI at its core.
As the Manager, AI Engineering at DigitalOcean, you will lead a new team within our AI & Business Technology Engineering organization, reporting to the Sr. Director of AI & Business Technology Engineering. You will inherit a small, experienced nucleus of AI engineers and grow the team to deliver AI-native capabilities that change how DigitalOcean's teams-Engineering, Finance, People, Sales, Marketing, Support, and IT-get work done.
This is a player-coach role. You will set the technical bar, contribute to architecture and prototypes for agents, copilots, and the internal AI platform that powers them, and shape how AI engineering is practiced across DigitalOcean. You will also hire, coach, and grow a high-performing distributed team-while partnering deeply with business and functional leaders to turn ambitious ideas into shipped, measurable outcomes.
We are at the start of a company-wide transformation to operate as an AI-native business. You will help define what that looks like inside DigitalOcean. The work spans three connected pillars: building internal AI copilots and agents for non-engineering teams, evolving our internal AI platform and tooling (MCP gateway, agent runtimes, evaluation harnesses, model access, Cursor/Claude rollout), and re-architecting business processes across our Workday, Salesforce, NetSuite, and Greenhouse footprint to be AI-native from the ground up.
What You'll Do:
  • Lead, mentor, and grow a distributed team of AI engineers (starting from an established nucleus, scaling to a high-performing group of 6-8) building copilots, agents, and the internal AI platform that powers them.
  • Act as a player-coach: review architecture, contribute to design and prototypes for critical agents and platform components, write code where the team's leverage demands it, and set a high technical bar.
  • Shape and execute the technical roadmap for the AI Engineering team in partnership with the Senior Director, AI & Business Technology Engineering-across internal AI copilots for teams, the AI platform and developer experience that supports them, and AI-native business process re-engineering across DigitalOcean.
  • Design and deliver agentic systems end to end: orchestration, tool use, capability boundaries, memory and state, evaluation, observability, runtime governance, and incident response for non-deterministic systems.
  • Build and evolve our internal AI platform-including the MCP gateway, agent runtimes, model access and routing, evaluation harnesses, and self-service developer experience-so every DO engineer and business team has a paved path to building with AI safely.
  • Partner with leaders from Finance & Supply Chain Systems, People Systems, Sales & Marketing Systems, Collaboration & Security Systems and their non-engineering business owners to identify the highest-leverage AI opportunities and ship them.
  • Collaborate closely with peer leaders in Enterprise Architecture, Data Engineering, Program Management, and Security to ensure our AI systems are well-architected, governed, observable, and trusted.
  • Champion modern AI engineering practices: evaluation-first development, prompt and agent versioning, runtime guardrails, audit logging, human-in-the-loop escalation, and cost attribution for LLM workloads.
  • Develop OKRs for the team, instrument the right business and engineering metrics, and clearly report progress to leadership and the broader organization.
  • Recruit world-class AI engineering talent in Boston, Cambridge, and broader US & non-US hubs; coach and develop the team you build; create an environment where engineers do the best work of their careers.
  • Contribute to AI & Business Technology Engineering leadership team planning and goal-setting, represent the AI Engineering team's perspective in cross-org forums, and contribute back to internal communities of practice (agent-skills, Claude pilot, AI workflows).
Key Metrics:
  • Adoption of AI copilots and agents by non-engineering teams across DigitalOcean (active users, workflows automated, hours returned).
  • Reliability, latency, and unit economics of the internal AI platform (uptime, p95 latency, $/task, $/user/month for shared AI infrastructure).
  • Quality and safety of agent behavior in production (eval scores, regression rate, incident rate, time-to-detect and time-to-contain for agent-related issues).
  • Engineering team health (hiring velocity against the plan, retention, internal mobility, and engineer-reported leverage of platform tools).
  • Business outcomes delivered against the AI-native transformation roadmap (named workflows re-engineered, cycle-time reductions, cost savings, and revenue enablement).
What You'll Add to DigitalOcean:
  • Significant experience as a software engineering manager, with a strong track record of leading and growing engineering teams that ship reliably in production.
  • Hands-on engineering depth in modern AI/ML systems: large language models, retrieval-augmented generation, agents and tool use, evaluation, and the operational discipline of LLMOps (prompt versioning, regression testing, cost attribution, observability for non-deterministic outputs).
  • Practical experience building or operating agentic systems-orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, or equivalents), Model Context Protocol (MCP) tooling, vector stores, and runtime guardrails.
  • Experience designing internal developer platforms or productivity tooling that engineers actually choose to adopt, including golden paths, self-service APIs, and SDKs.
  • A clear point of view on AI governance and safety: audit logging, capability boundaries, minimum-privilege tool access, human-in-the-loop escalation, and alignment with frameworks like the NIST AI RMF.
  • Strong software engineering fundamentals in at least one production language (Python, Go, TypeScript, or Java) and modern cloud-native infrastructure (Kubernetes, serverless, gRPC, observability stacks).
  • A bias for shipping: integrating customer and stakeholder feedback into how the team works, focusing on outcomes over outputs, and unblocking the team with pragmatic decisions.
  • Excellent written and verbal communication skills, with a demonstrated ability to influence non-engineering stakeholders and translate ambiguous business problems into well-scoped AI systems.
  • Experience hiring and retaining strong AI engineering talent in competitive markets, and growing junior engineers into senior contributors.
  • Comfort working in a hybrid environment-able to partner closely with our Boston/Cambridge community while leading distributed teammates across the US and beyond.
  • Bonus: experience re-engineering business processes in enterprise systems (Workday, Salesforce, NetSuite, Greenhouse, or similar), or working closely with finance, people, GTM, or support functions on AI deployments.
  • Bonus: prior experience deploying AI tooling at scale to internal users (Cursor, Claude Code, GitHub Copilot, or equivalent enterprise rollouts).
Compensation Range:
  • $180,000-$200,000

*This is a remote role
JR: 2026-8007
#LI-Remote
Why You'll Like Working for DigitalOcean
  • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

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