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Non Engineering Jobs (NOW HIRING)

The Timberline Group

Engineering Tech Lead

Saint Louis, MO · On-site

$99K - $131K/yr

Collaborative and candid with non-engineering stakeholders * Highly flexible and able to work within a fast-moving environment Qualifications: * 7to10years of experience building software in roles of ...

The Timberline Group

Engineering Tech Lead

Saint Louis, MO · On-site

$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 ...

JD Power

Senior Director, Product Engineering

Communicates clearly and frequently with non-engineering stakeholders on commitments, risks, and trade-offs. Decision Authority * Approves engineering hires (IC and management) within the approved ...

Aiwyn

Engineering Manager, Tax

You've worked closely with non-engineering experts before, taken their judgment seriously, and built shared language and shared artifacts that let both sides do their best work. We've watched smart ...

Midi Health

Senior Fullstack Engineer

San Francisco, CA · Hybrid

$170K - $210K/yr

You excel at working with non-engineering stakeholders (Design, Product, Executive Leadership, Marketing) to align technical decisions with business value. * You take a proactive ownership mindset ...

Midi Health

Senior Fullstack Engineer

Palo Alto, CA · Hybrid

$170K - $210K/yr

You excel at working with non-engineering stakeholders (Design, Product, Executive Leadership, Marketing) to align technical decisions with business value. * You take a proactive ownership mindset ...

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How much do non engineering jobs pay per year?

As of Jun 16, 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.

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 jobs pay $2000 a day?

High-paying non-engineering jobs that can pay around $2000 a day include specialized consulting roles, senior executive positions, and certain medical professionals like surgeons or anesthesiologists. These roles typically require extensive experience, advanced skills, certifications, and often involve high-pressure environments or private practice settings.

What are non-engineering jobs?

Non-engineering jobs refer to roles that do not primarily involve the application of engineering principles or technical engineering skills. These positions can be found in a wide range of fields such as administration, marketing, finance, human resources, sales, operations, and customer service. People in non-engineering jobs support the overall functioning of organizations and are essential for business growth and management. These roles may require different educational backgrounds, including degrees in business, arts, social sciences, or other non-technical disciplines.

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.

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.

What jobs make $10,000 a month without a degree?

High-paying non-engineering jobs that can reach $10,000 a month often include sales roles such as real estate agents, financial advisors, or high-ticket sales professionals, which rely on commissions and experience. Other options include entrepreneurship, certain trades like plumbing or electrical work with experience, and specialized roles in tech or digital marketing that prioritize skills over formal education. Success in these fields typically requires strong skills, networking, and sometimes certifications or licenses.

What can I do other than engineering?

Non-engineering roles include positions in fields such as marketing, sales, human resources, finance, customer service, and administration. These jobs often require different skill sets like communication, organization, and problem-solving, and may involve certifications or training specific to the industry. Career options vary widely depending on interests and qualifications.

What professions make 200,000 a year without a degree?

In non-engineering fields, high-paying professions that can reach $200,000 annually include sales managers, real estate brokers, commercial pilots, and certain skilled trades like elevator installers and power plant operators. Success often depends on experience, skills, certifications, and performance rather than formal degrees.
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 June 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Summer. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Manager, AI Engineering - AI & Business Tech Engineering

Manager, AI Engineering - AI & Business Tech Engineering

DigitalOcean

Boston, MA

Other

Posted 4 days ago

Job description

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

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