Implementation Engineer
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Experience not stated
- Where you can live
- US only
- Skills and tools
- python, machine learning, onboarding, project management, documentation, troubleshooting
- Job type
- Full-time
Read from the ad by Psst's rules. Check the full ad below before applying.
Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $150K–200K/yr
- Experience
- Experience not stated
- Employer publication date
- 18 February 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
WHO WE ARE
Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.
We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. The company simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use the company’s machine learning open source and hosted tools. That includes counting cells [link for members] to accelerate cancer research, improving construction site safety [link for members] digitizing floor plans [link for members] preserving coral reef populations [link for members] guiding drone flight [link for members] and much more [link for members]
The company is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.
The companyers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment.
WHAT YOU’LL DO
We’re hiring Implementation Engineers to partner closely with our sales and solutions architect team to drive new customer wins. You’ll have an immense impact on shaping the future of not only this role, but our company.
A large portion of the the company sales process is technical, ensuring customers understand how to incorporate computer vision into their products. Building successful relationships with our customers -- many of whom are engineers -- as well as showcasing what the the company product is capable of is a key component of the role, so you will leverage both your engineering background and user-facing mindset to be successful.
Because our customers use computer vision in so many different industries (accelerating cancer research, improving manufacturing processes, enabling automated checkout, and so much more), your workday will always include an engaging variety of challenges. You’ll be an integral part of making our customers successful, being responsible for the project management, deployment, and adoption of the company’s computer vision solutions within their products.
This is a hands-on, technical role where you will work closely not only with our customers, but also with our engineering teams and product managers to ensure the successful deployment of our solutions. You will need to combine your expertise in computer vision, machine learning, and Python programming to design, implement, and optimize solutions that solve our customers’ biggest pain points. We want our customers to be life long partners with the company and ensure they are receiving the ROI they envisioned when they first signed on.
If you think, “I’m an engineer that loves sharing my work with others,” you’d be in great company in this role.
Role and Responsibilities
- Support and manage the project delivery of customized solutions to our customers
- Provide post-deployment support, including troubleshooting, debugging, and educating customers
- You will collaborate with Sales and Solutions Architect teams to ensure continuity across the customer journey
- Create technical content to demonstrate best practices (e.g. sample apps, documentation, videos, etc.)
- Work with sales and product to develop implementation strategies and build roadmaps for our customers
- Partner with customers to perform analysis on their image data to answer specific business questions and identify opportunities for improvement through computer vision
- Test and validate new product features with customer value creation in mind
- Contribute to a repository of reusable artifacts that can be used by customers to accelerate their the company journey
- Work with the wider the company team to improve processes, documentation and the overall customer experience
- Assist our product team with customer onboarding, support, adoption and engineering efforts
WHO YOU ARE
- A solution mindset
- Strong customer facing instincts
- An enthusiastic, strong, technical generalist
- A background in computer science or a related field
- Technical experience in field roles partnering with enterprise customers in a post-sales delivery and implementation capacity
- Experience utilizing and writing customized Colab notebooks (Python) as a part of the machine learning development lifecycle (and eagerness to learn more)
- Familiarity with common data processing and computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch)
- Diligent problem-solving skills with a customer-centric approach and the ability to think on your feet
- Proven project management experience as it relates to delivery timelines and commitments
- Strong knowledge of APIs
- Willingness to travel ~25%
INTERVIEW PROCESS (~5 HOURS)
Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team, who you’ll be speaking directly with about what it's like to work and thrive at the company. We like to be decisive and work fast, so don't be surprised if all the below conversations happen over a few days.
Before the Interview
- We’ll review your application, LinkedIn, Github, etc.
- The best way to stand out is to write about something you’ve built with the company or contribute to one of our open source projects [link for members]
- We may send you a technical screen if applicable.
Introduction Phase
- [45m] Meet with hiring manager to assess for overall mindset and skillset
Team Interview Phase
- [60m] Technical Assessment - meet with fellow implementation Engineer
- [30m] Demo - build a project with the company and share your work
Final Interview Stage
- [30m] Meet with Head of Operations, for a culture discussion
- [30m] Meet with Joseph Nelson, CEO
Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.
WHO YOU'LL BE WORKING WITH
Our team of ~120 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, the company users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others.
As an early Implementation Engineer hire, you’ll be partnering directly with our co-founder/CEO and Sales leadership to not only do great work in the role, but shape how this function works for the future of the company.
WHERE YOU'LL WORK
The company is distributed across the US and Europe. We currently have Hubs in New York City, San Francisco and São Paulo (with plans to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources [link for members] (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!
WHEN YOU'LL WORK
The company primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed.
WHAT YOU'LL RECEIVE
To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.
💰 The target OTE for this role is $150,000-$200,000
📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
- $4000/yr Travel Stipend to travel anywhere anytime to work alongside other the companyers
- $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space
- $350/mo AI Tools
- $150/mo Team lunch
- $500/one time Home office
- Cover up to 100% of your health insurance costs for you and your partner or family
- Equity in the company so we are all invested in the future of computer vision
NOT SURE IF THIS IS YOU?
We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into our Former Founders [link for members] or subscribe to our career newsletter by emailing "Subscribe" to [link for members] We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
LEARN MORE ABOUT US
We are building a diverse Distributed team [link for members] that is distributed across the globe. The company is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.
We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at the company by reading these blog posts. [link for members]
EQUAL EMPLOYMENT OPPORTUNITY
At the company, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.
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