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backend engineer, integrations

backend engineer

LiteLLM

<div><h1 class="jobSectionHeader">Technical Product Manager</h1>
LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications&mdash;and now we're building our second product.
We're looking for a Technical Product Manager who wants to work directly with the founders to figure out what developers need, ship quickly, and build products that thousands of engineering teams use every day.<h2 class="jobSectionHeader"> 
About the Role</h2>
This isn't a traditional product management role, and it isn't a traditional software engineering role.
NOTE: You will spend 50% of your time coding, and 50% of your time talking to users.
You'll spend your time talking to customers, understanding their problems, designing solutions, writing production code, and shipping features. One week you might build a new authentication flow, the next week you're redesigning an onboarding experience, integrating with a new provider, or launching an entirely new product.
If you enjoy owning a problem end-to-end&mdash;from idea to production&mdash;you'll thrive here.<h2 class="jobSectionHeader"> 
Responsibilities</h2><ul><li>
Build new product features from concept to production.</li><li>
Work directly with customers to understand pain points and validate solutions.</li><li>
Ship quickly while maintaining a high quality bar.</li><li>
Prototype new ideas and iterate based on user feedback.</li><li>
Own major product areas and continuously improve them over time.</li><li>
Design backend APIs and services using Python and FastAPI.</li><li>
Build intuitive developer experiences across our API, dashboard, and CLI.</li><li>
Collaborate directly with the founders on product direction and technical decisions.</li><li>
Help define and build LiteLLM's second major product.</li></ul><h2 class="jobSectionHeader"> 
What We're Looking For</h2><ul><li>
Bachelor's or Master's degree in Computer Science or a related field.</li><li>
Experience as a product manager or associate product manager at a company</li><li>
Strong software engineering fundamentals.</li><li>
Experience building production software, preferably with Python.</li><li>
Comfortable moving across the stack when needed (backend, frontend, infrastructure, APIs).</li><li>
Strong product intuition and curiosity about how customers use software.</li><li>
Excellent written and verbal communication.</li><li>
High ownership&mdash;you naturally identify problems and solve them without waiting to be asked.</li><li>
Comfortable operating in ambiguity and making decisions with incomplete information.</li><li>
Excited by shipping quickly and learning from real users.</li></ul><h2 class="jobSectionHeader"> 
Bonus Points</h2><ul><li>
Experience at an early-stage startup.</li><li>
Experience building developer tools or infrastructure products.</li><li>
Open source contributions.</li><li>
You've built and launched your own product.</li><li>
Familiarity with AI infrastructure, LLMs, or developer platforms.</li></ul><h2 class="jobSectionHeader"> 
Why Join LiteLLM?</h2><ul><li>
Work directly with the founders every day.</li><li>
Build products used by thousands of engineering teams around the world.</li><li>
Own meaningful product decisions&mdash;not just implementation.</li><li>
Move incredibly fast and see your work in production immediately.</li><li>
Help define the future of AI infrastructure and developer tooling.</li><li>
Competitive salary, equity, health, dental, and vision benefits.</li></ul><h2 class="jobSectionHeader"> 
About LiteLLM</h2>
LiteLLM is the world's most widely adopted AI Gateway. We provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems. Thousands of companies rely on LiteLLM to power AI in production.
If you love talking to users, building products, and shipping software that people actually use, we'd love to meet you.
Compensation Range: $200K - $260K</div>

Technical Product Manager

<div><h1 class="jobSectionHeader">Why Join Ivo?</h1>
Every civilization runs on the same infrastructure: agreements between people who don't fully trust each other. Sumerians pressed them into clay. Romans carved them into stone. We bury them in 80-page PDFs.
The way those agreements are reviewed hasn't changed in four thousand years - a human reads the whole thing and tries not to miss anything. We're building the AI that finally changes that. Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and Shopify. We recently raised our Series B and have grown 800% over the last 12 months.<h1 class="jobSectionHeader">
Engineering at Ivo</h1>
Engineers at Ivo are inventors. Ivo was first-to-market with:<ul><li>An AI agent that lives in MS word and edits the document for you [2023]</li><li>Ditching imprecise embeddings models in favor of agentic RAG [2023]</li><li>Large-scale LLM-based legal fact extraction [2024]</li><li>A legal assistant that can search large contract databases, without sacrificing accuracy [2024]</li><li>Clustering legal documents descended from the same family [2025]</li><li>Automatic deviation analysis to locate buried risk in huge contract databases [2025]</li><li>Merging contracts with their amendments to make a time series of &ldquo;composite&rdquo; contracts (a customer actually cried when we showed her this) [2025]</li></ul><h1 class="jobSectionHeader">
The Role: Why, What and the Who</h1>
Why? Infrastructure Engineers build the foundation for Ivo&rsquo;s entire platform. Customers are cagey about their contracts, so each customer gets their isolated environment with containers, database, VPC, etc. Things break. Regions go down. Cloud and LLM providers have &ldquo;incidents.&rdquo; Customers still expect us to hit our SLAs.
What? We&rsquo;re looking for a Staff DevOps Engineer as part of Infrastructure team to:<ul><li>
Build and maintain Docker-based environments across dev/staging/prod</li><li>
Own and improve our deployment and release pipelines (GitHub Actions)</li><li>
Manage infrastructure using Pulumi (Infrastructure as Code)</li><li>
Support backend services (APIs, workers, jobs) and frontend apps (builds, deployments, performance issues)</li><li>
Debug issues across the stack: infra backend frontend</li><li>
Improve developer experience: faster builds, cleaner environments</li><li>
Help define and improve CI/CD workflows</li><li>
Automate repetitive processes wherever possible</li></ul>
Who? We need someone with:<ul><li>
Minimum 7 years of experience</li><li>
Strong expertise in DevOps / infrastructure + some full-stack exposure</li><li>
Hands-on experience with Pulumi (or similar IaC tools like Terraform), Docker / containerization, GitHub + CI/CD pipelines</li><li>
Good debugging skills: debugging ambiguous issues, tracing problems across systems</li></ul>
This isn&rsquo;t a &ldquo;keep the lights on&rdquo; role. You&rsquo;ll be building the system that keeps the company running. In addition to helping us run a solid, high-performance distributed system, we&rsquo;d love someone who&rsquo;s as excited about LLMs as we are. You&rsquo;d be deeply embedded into the engineering team and highly encouraged to push the frontiers.<h1 class="jobSectionHeader">
Ivo might be a good fit for you if you:</h1><ul><li>
You love writing code, but you love having impact more: We&rsquo;re a team of engineers at heart, but our #1 goal is building the best possible product. That means making pragmatic choices and looking for 80/20 solutions.</li><li>
Would describe yourself as being relentlessly resourceful.</li><li>
You have a strong internal sense of urgency. You have a bias towards doing things *today*, rather than tomorrow.</li><li>
Experience working in a startup environment is preferred but not required.</li><li>
Are excited about the adventure of building a company!</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
Competitive Compensation: Final offer details are determined based on experience, expertise, and overall fit.</li><li>
Equity: Meaningful ownership in a company that's scaling fast</li><li>
Relocation and Visa Support: We also offer relocation assistance for successful applicants moving to SF, as well as support for visa and green card applications where applicable.</li><li>
Health &amp; Wellness: Comprehensive medical, dental, and vision plans to suit the needs of you and your family.</li><li>
Flexible Spending &amp; Insurance: Access to HSA and FSA accounts, plus life insurance coverage.</li><li>
401(k) Program: Save for the future with our 401(k) program.</li><li>
Commuter Benefits: We help make getting to and from the office easier and more convenient.</li><li>
Unlimited PTO: So you can take the time you need to recharge, stay healthy, and bring your best self to work.</li><li>
Office Perks: Enjoy a vibrant Downtown San Francisco office with catered lunch five days a week, premium snacks and coffee, an in-building gym, and a dog-friendly environment.</li></ul><h2 class="jobSectionHeader">
FAQ</h2><ul><li>
What stage of growth is Ivo at?: We launched in early access in 2023. Since then, we&rsquo;ve had an incredible response from the market and are growing rapidly. We 6x'd in ARR in the last 12 months. Our clients include companies like Uber, Reddit, IBM, Canva, Pinterest, WordPress, and more. We're happy to share more details with candidates who go through our interview process.</li><li>
Is this a chill gig?: Startups are very hard, especially if they&rsquo;re growing fast. You&rsquo;ll have a ton of responsibility, and there&rsquo;s always an enormous amount of stuff to do. It&rsquo;s hard work but the payoff is uncapped.</li><li>
Can I work remotely?: We require candidates to work with us in-person 5 days a week in our San Francisco office.</li></ul>
Ivo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Compensation Range: $249K - $405K</div>

Staff DevOps Engineer

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - San Francisco, CA, USA

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

CLERA

<div><h3 class="jobSectionHeader">About the role</h3>
Join a bootstrap, early-stage AI-powered recruiting startup as a founding engineer focused on building the intelligence layer that connects candidates with startup opportunities. You&rsquo;ll own recommendation systems, ranking algorithms, and LLM-powered matching to surface high-impact opportunities and drive outcomes for candidates and employers.
<h3 class="jobSectionHeader">What you'll do</h3>
<ul><li>Own the AI/ML stack, including recommendation systems and ranking algorithms.</li>
<li>Develop LLM-powered matching to improve candidate-role alignment.</li>
<li>Collaborate with cross-functional teams to translate product goals into production-ready features.</li>
<li>Deliver end-to-end features with ownership and rapid shipping to production.</li>
<li>Design and maintain production-grade data pipelines and services integrated with the stack.</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Strong computer science fundamentals and a track record of delivering end-to-end product features in a fast-paced startup environment.</li>
<li>Experience with Cursor, Supabase, Prisma, Typesense, LLM APIs, and trigger.dev in production-grade projects.</li>
<li>Proficiency with TypeScript and React.</li>
<li>Willingness to work in entrepreneurial, hacky environments and in a dedicated coworking/hackerhouse setup.</li>
<li>Open to a 6-day-per-week schedule and ready to contribute in a high-autonomy, early-stage context.</li>
<li>Demonstrates something outstanding about their profile (e.g., strong projects, active GitHub).</li>
</ul><h3 class="jobSectionHeader">Compensation &amp; benefits</h3>
<ul><li>Salary range: 130,000 &ndash; 170,000 USD annually.</li>
<li>Visa sponsorship available.</li>
<li>Notes: compensation and benefits reflect an early-stage, high-growth environment.</li>
</ul><h3 class="jobSectionHeader">Location</h3>

Primary location: San Francisco, CA, United States. On-site with a flexible, startup-friendly structure. Remote work policy: on-site</div>

Senior Founding Engineer (AI/ML)

Swinerton

<div>Compensation Range
$155,000.00 - $200,000.00 Annual Salary
Job Description Summary:
Supervision of the construction project resulting in successful project completion.
Job Description:
 POSITION RESPONSIBILITIES AND DUTIES:
<ul><li>Able to perform all essential Asst. Supt./Project Engineer job responsibilities
</li><li>Attend and participate in Safety Training Program and enforce safety procedures
</li><li>Verify subcontractor certificates of insurance
</li><li>Prepare and maintain responsibility for CPM job schedule
</li><li>Develop Owner and Architect&rsquo;s confidence
</li><li>Recruit, organize, train, direct and coordinate field construction team including subcontractor&rsquo;s direct hire work
</li><li>Assure work quality - set standards for quality control
</li><li>Order materials and tools and plan supply allotment to avoid &ldquo;crisis&rdquo; buying
</li><li>Prepare necessary reports (e.g. time sheets, work orders, daily reports and invoice approval)
</li><li>Document and complete all punchlists in a timely manner
</li><li>Review all drawings, specifications and subcontractor submittals
</li><li>Chair or attend pre-job conference, regular subcontractor meetings
</li><li>Perform start-up testing and turnover to Owner
</li><li>Document final close-out and Owner&rsquo;s acceptance
</li><li>Perform manual work only in rare circumstances when, in employee&rsquo;s independent judgment, exigent circumstances require it
</li><li>Ability to travel as required by management
</li><li>Ability to supervise multiple projects over a large geographic area as required by management
</li><li>Complete other responsibilities as assigned</li></ul> 
MINIMUM SKILLS OR EXPERIENCE REQUIREMENTS:
<ul><li>Engineering, Construction Management or Architectural degree, or equivalent experience (4 years as Assistant Superintendent)
</li><li>Extensive field construction experience at supervisory level
</li><li>Current Safety Trained Supervisor (STS) Certification, or achievement of STS Certification within six months of hire, maintenance of active certification status
</li><li>Working knowledge of all crafts (ability to read and understand specifications for all trades), and prior experience as foreman or journeyman in at least one trade, or project engineer
</li><li>Knowledge of OSHA laws
</li><li>Knowledge of job scheduling, planning, expediting and cost control
</li><li>Ability in problem-solving
</li><li>Strong sense of urgency</li></ul>
SUMMARY OF BENEFITS:
This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&amp;D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.</div>
 <div><h3 class="jobSectionHeader">About Us</h3><div></div><div><div><div><div>
Welcome to Swinerton&mdash;Building Excellence Since 1888
Swinerton is a 100% employee-owned construction company with a legacy of shaping skylines, transforming communities, and delivering award-winning projects across the United States. Since our founding in 1888, we have remained forward-thinking, operating with accountability, integrity, and a passion for building what matters.
As an integrated ecosystem of expertise, Swinerton brings together talented professionals from diverse backgrounds to deliver innovative and efficient construction solutions. Our collaborative, interdisciplinary approach sets us apart, allowing us to respond to any project challenge&mdash;regardless of size, location, or complexity.
When you join Swinerton, you become part of a dynamic network of employee-owners who are committed to excellence, safety, and continuous growth. We invest in your development, offer competitive benefits, and empower you to make a meaningful impact on every project and in every community we serve.
Discover how you can build your future with Swinerton. Explore our open positions and join a team that leads with ownership, integrity, and a shared commitment to success.
Swinerton&mdash;Building is not just what we do; it is who we are.
www.swinerton.com
Swinerton is an Equal Employment Opportunity, Minority, Women, Disability, and Veteran Employer.
Our Company is an equal opportunity and affirmative action employer. We have a commitment to provide equal hiring, training, compensation, promotion, transfer, layoff and recall benefits to all individuals without regard to gender, race, color, religion, age, mental or physical disability, medical condition, genetic information, sex, sexual orientation, gender identity and expression, national origin, marital or domestic partner status, veteran status, or any other characteristic protected under federal or state laws or local ordinance or regulation.
We are committed to the safety and security of everyone interested in our company&ndash;including those who visit us online. Please note that Swinerton will only invite you to submit work history and personal information related to employment through our career portal Workday (which requires the set-up of a login) and communication will only come from individuals with an email address ending in @swinerton.com. If you receive fraudulent communication please inform us by emailing reportissues@swinerton.com.</div></div></div></div></div>

Superintendent - Aviation

Explore 12+ Backend engineer in San Francisco this August. Find roles across top companies and apply now to boost your career.