• Companies
  • News
By technology
  • Python17.9k
  • AWS12.7k
  • Kubernetes9.1k
  • Docker8.7k
  • C++5.9k
  • PostgreSQL5.7k
  • SQL5.3k
By category
  • Backend Developer11.3k
  • DevOps Engineer3.4k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer854
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX1k
Work mode
  • On-site21.9k
  • Remote10.2k
  • Hybrid7.3k
Job type
  • Full-time38.1k
  • Contract601
  • Part-time525
  • Freelance214
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
12,657 matches
NewestHighest base
PhysicsX

Principal Deployment Strategist

1 month ago
PhysicsX · New York, NY
On-siteFull-timeDocker · Kubernetes
Ōura

Staff AI Data Transformation Architect

1 month ago
Ōura · San Francisco, CA
HybridFull-timePython · SQL
Nimble Gravity

Senior Data Engineer

1 month ago
Nimble Gravity · LATAM (Remote), US (Remote)
RemoteFull-timeSnowflake · SQL
Mercury

Engineering Manager - Bank Accounts

1 month ago
Mercury · San Francisco, CA
$250k–350kHybridFull-timeAWS · PostgreSQL
Loenbro

Governance, Risk & Compliance (GRC) Manager

1 month ago
Loenbro · Remote
RemoteFull-timeActive Directory · Azure
NewRocket

Solution Architect ServiceNow Service Portal and AI Engineering

1 month ago
NewRocket · US or Canada - Remote
RemoteFull-timeServiceNow · AI
Wellhub

Staff Platform Engineer

1 month ago
Wellhub · Brazil (Remote)
RemoteFull-timeAWS · Kubernetes
Guidepoint

Senior AI Engineer

1 month ago
Guidepoint · Toronto, ON
HybridFull-timeLLM · voice processing
Fleetio

Senior Platform Engineer (Rails & Database)

1 month ago
Fleetio · Remote - USA
RemoteFull-timeKubernetes · Docker
Ensono

Expert Database Architect

1 month ago
Ensono · Remote - United States
RemoteFull-timePostgreSQL · MongoDB
Ensono

Chief Technology Advisor

1 month ago
Ensono · Remote - United States
RemoteFull-timeAWS · Azure
Cribl

Staff Software Engineer, Agentic Tools

1 month ago
Cribl · Remote - United States
RemoteFull-timePython · TypeScript
Cohere Health

Senior Director, Solution Owner

1 month ago
Cohere Health · Boston, MA
On-siteFull-timePython · AWS
Cohere Health

Director, Solutions Architecture

1 month ago
Cohere Health · Boston, MA
On-siteFull-timePython · AWS
Clever

Senior Software Engineer, Devices

1 month ago
Clever · San Francisco, CA
RemoteFull-timeTypeScript · Python
Clara

Staff Engineer (Ingeniero Staff) - Remote First

1 month ago
Clara · Bogota, DC
RemoteFull-timePython · Java
Carvana

Senior Engineer, Information Security

1 month ago
Carvana · Tempe, AZ
On-siteFull-timeAWS · Azure
Banyan Software

Growth Product Manager- Teamup

1 month ago
Banyan Software · Atlanta, GA
On-siteFull-timeAI · AWS
Anthropic

US Public Sector Compliance, Security GRC

1 month ago
Anthropic · San Francisco, CA
$160k–220kHybridFull-timePython · AWS
Anthropic

Staff + Software Security Engineer, Secure Frameworks

1 month ago
Anthropic · San Francisco, CA
$220k–300kHybridFull-timePython · C++
  • Previous
  • 1
  • More pages
  • 353
  • 354
  • 355
  • More pages
  • 633
  • Next
  • PhysicsX

    Principal Deployment Strategist

    PhysicsX · 🇺🇸 New York, NY · posted 1 month ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Equity
    Equity options offered
    Remote
    Hybrid, Manhattan office with remote flexibility
    Stack
    Docker, Kubernetes, AWS, CI/CD

    TL;DR

    Customer-facing Deployment Strategist who guides industrial customers through AI physics simulation platform adoption. Works across customer success, engineering, and ML teams. 8+ years commercial experience in technical environments required.

    About PhysicsX →

    The full posting

    About us

    Re-architecting Engineering for the Age of Intelligence


    PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

    Who we are looking for

    As a customer-facing Deployment Strategist (internally we call these Delivery Engineers), you are a relationship builder and technical guide who is passionate about growing strategic accounts by transforming AI solutions into lasting customer partnerships. Due to the deep technical nature of the environment we work in, you are someone who can understand advanced engineering concepts across multiple industries and excel at working directly with customers to understand their challenges, ambitions, and evolving needs while serving as their primary point of contact.

    We welcome diverse technical backgrounds that bring valuable perspectives to our product. You may come from a Data Science/Machine Learning background with deep understanding of the end-to-end AI/ML product lifecycle, enabling you to explain complex technical concepts to stakeholders and identify new areas of application. Alternatively, you may have an engineering profile bringing domain-specific engineering understanding that helps connect our solutions to real industry challenges. In either case, you bring a unique perspective and you help customers bridge the gap between advanced AI capabilities and practical engineering applications. Note that your current role might not leverage your technical background - for example you might have left the field of engineering but are interesting in returning! You are a keen learner who will become up-to-speed with our core technology stack, cloud/software deployment, and product features, allowing you to support customers with guiding activities and technical requests.

    With 8+ years industry experience in a commercial, customer-facing environment, you're ready to take ownership of the complete customer journey, from onboarding and change management to roadmap planning and contract preparation. You excel at strategic planning, time management, and problem-solving, with natural organizational skills that enable you to manage sprint planning, deliverables alignment, and smooth project delivery. Experience in industrial or advanced manufacturing sectors—such as automotive, semiconductors, or materials—is preferred.

    Responsibilities

    In this role, you’ll work closely with both customers and our Simulation Engineers, Software Engineers, Machine Learning Engineers and Data Scientists to understand and define the engineering and physics challenges we are build solutions for. You will:

    • Build and maintain relationships with users and decision-makers at our customers
    • Understand customer industry challenges and translate them into product opportunities and roadmap alignment
    • Own the customer onboarding journey into our platform, working in delivery teams to ensure we build things that are useful and get used
    • Support the running of customer delivery teams, getting involved in planning and product coordination, ensuring the right thing gets built and its value is measured and articulated
    • Find the next useful thing to build for a customer, growing accounts with the help of account owners by identifying problems, users and stakeholders, and preparing proposals (including commercials) and supporting contracting process
    • Track customer engagement and sit side-by-side with customers to collect signal and feedback, making sure the things we build are getting used and creating value

    Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world

    What we offer

    • Equity options – share in our success and growth.
    • 5% 401(k) contribution – invest in your future.
    • Flexible working – balance your work and life in a way that works for you.
    • Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
    • Enhanced parental leave – support for life’s biggest milestones.
    • Private healthcare – comprehensive coverage for you and your family.
    • Personal development – access learning and training to help you grow.
    • Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.

    We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.

    Salary Range

    $150,000 - 250,000 depending on experience


    Seniority will be assessed throughout our interview process.

    We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.