Is the Senior AI Research Scientist (Model-based RL) position at Phaidra fully remote?

Yes, this Senior AI Research Scientist (Model-based RL) position at Phaidra is a remote position. The role is available for candidates in France.

Is this a full-time or part-time Senior AI Research Scientist (Model-based RL) role?

This is a full-time Senior AI Research Scientist (Model-based RL) position at Phaidra.

What benefits does Phaidra offer for this position?

Phaidra offers the following benefits: Dental Insurance, Vision Insurance, Paid Time Off, Parental Leave, Equity.

What is the salary range for the Senior AI Research Scientist (Model-based RL) position?

The salary range for this Senior AI Research Scientist (Model-based RL) role is GBP 87.681k - GBP 165.379k.

How do I apply for the Senior AI Research Scientist (Model-based RL) position at Phaidra?

You can apply for this Senior AI Research Scientist (Model-based RL) position by clicking the "Apply Now" button on this page, which will take you to Phaidra's application portal.

Senior AI Research Scientist (Model-based RL) at Phaidra

France

GBP 87.681k - GBP 165.379k

<div class="content-intro"><h3><strong>About Phaidra</strong></h3> <p>Phaidra is building the future of industrial automation.</p> <p>The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.</p> <p>Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:</p> <ul> <li>We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.</li> <li>We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.</li> <li>We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.</li> </ul> <p>Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with <a href="https://www.nature.com/articles/nature16961">DeepMind's AlphaGo</a>, to reducing the energy required to cool <a href="https://www.technologyreview.com/2018/08/17/140987/google-just-gave-control-over-data-center-cooling-to-an-ai/">Google's Data Centers</a> by 40%, we deeply understand AI and how to apply it in production for massive impact.</p> <p>Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: <strong>Transparency</strong>, <strong>Collaboration</strong>, <strong>Operational Excellence</strong>, <strong>Ownership</strong>, and <strong>Empathy.</strong> We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture</p> <p>Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, <a href="https://www.oysterhr.com/">OysterHR</a>. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.</p></div><h3><span style="text-decoration: underline;">Who You Are</span></h3> <p>Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector.</p> <p>Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields.</p> <p>Drawing on expertise from a variety of disciplines including model-based reinforcement learning, planning and optimal control, deep learning, world models, and safe reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying it to real-world industrial control systems.</p> <h3><span style="text-decoration: underline;">Responsibilities</span></h3> <ul> <li>Design, implement, and evaluate model-based reinforcement learning agents — including planning-based controllers (MPC, MPPI) — and the software prototypes needed to deploy them on real industrial control systems.</li> <li>Develop learned dynamics and world models (learned surrogates) that generalize across systems, including the training pipelines — pretraining, curriculum learning, active/adversarial learning, and fine-tuning — needed to make them reliable for planning and control.</li> <li>Research and implement methods for e.g. safe RL, constrained control, scenario planning and Bayesian RL, to develop agents that satisfy safety constraints during deployment.</li> <li>Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.</li> <li>Participate in and organize ambitious collaborative research projects, and work with external collaborators and partners to translate research into production outcomes.</li> <li>Mentor and guide Research Engineers to apply research findings and developments to industrial domains.</li> <li>Independently defines new research directions</li> <li>Translates research into practical outcomes</li> <li>Owns the development and rollout for an entire research area or large project</li> </ul> <h3><span style="text-decoration: underline;">Key Qualifications</span></h3> <ul> <li>PhD in a technical field or equivalent practical experience, with a <strong>strong background in model-based reinforcement learning</strong> and demonstrated knowledge in one or more of the following: <ul> <li>Planning algorithms</li> <li>World models / learned dynamics surrogates</li> <li>Reinforcement Learning and Deep Learning</li> <li>Control Theory</li> <li>Safe / constrained RL</li> </ul> </li> <li>2+ years of research experience in academia or industry after PhD graduation.</li> <li>Extensive research in the fields of {ModelBased, ModelFree, Safe}RL and Control Theory, with particular depth in model-based methods.</li> <li>Hands-on experience building and evaluating agents against simulators (e.g. differentiable simulators or world models) and closing the sim-to-real gap.</li> <li>Share our company values: Collaboration, Transparency, Operational Excellence, Ownership, and Empathy</li> </ul> <h3><span style="text-decoration: underline;">Preferred Skills & Experience</span></h3> <ul> <li>PhD in machine learning, control, or a closely related field.</li> <li>Deep, hands-on experience with model-based RL and planning agents applied to real-world dynamical or industrial systems.</li> <li>Strong Python and PyTorch skills, including vectorized/differentiable simulators and scaling experiments on distributed compute (e.g. Ray, Kubernetes, GCP).</li> <li>A proven track record of publications in RL, control, or a related area.</li> <li>A real passion for AI and applying it to industrial systems to improve resource efficiency.</li> </ul> <h3><span style="text-decoration: underline;">Our Stack </span></h3> <ul> <li>Python</li> <li>PyTorch, scipy</li> <li>Kubernetes, Docker, Ray</li> <li>GCP</li> </ul> <h3><span style="text-decoration: underline;">Onboarding</span></h3> <p><strong>In your first 30 days...</strong></p> <ul> <li>You will be immersed in an onboarding program that introduces you to Phaidra and our product.</li> <li>You will spend time in the research team and get introduced to the different tracks of research that we perform.</li> <li>You will learn how other teams operate, interact, and approach problems.</li> <li>You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.</li> <li>You will set up your development environment and get introduced to various parts of our code base.</li> </ul> <p><strong>By your first 60 days...</strong></p> <ul> <li>You will have a solid understanding of what Phaidra does and how we do it.</li> <li>You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.</li> <li>You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one.</li> </ul> <p><strong>By your first 90 days...</strong></p> <ul> <li>You will have been fully integrated in the team and with team members across the company.</li> <li>You will have started to contribute to knowledge sharing throughout Phaidra.</li> <li>Your project is in full swing and you might have some early results already.</li> </ul> <p><span style="text-decoration: underline;"></span></p> <h3><span style="text-decoration: underline;">General Interview Process</span></h3> <p>All of our interviews are held via Google Meet, and an active camera connection is required.</p> <ol> <li>Meeting with People Operations team member (30 minutes) </li> <li>Meeting with Hiring Manager (30 minutes)</li> <li>Meeting with Research team member (60 minutes)</li> <li>Meeting with Hiring Manager (60 minutes)</li> <li>Culture fit interview with Phaidra’s co-founders (30 minutes)</li> </ol> <h3><span style="text-decoration: underline;"><strong>Base Salary</strong></span></h3> <ul> <li class="p1">Tier 1 (Largest highest-cost metros): £120,276 - £165,379</li> <li class="p1">Tier 2 (Other major metros): £108,248 - £148,841</li> <li class="p1">Tier 3 (Mid-sized metro areas): £97,423 - £133,957</li> <li class="p1">Tier 4 (All other locations): £87,681 - £120,561</li> </ul> <p><em data-stringify-type="italic">In addition to base salary, this position is eligible for equity. </em><em data-stringify-type="italic">Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends.</em></p><div class="content-conclusion"><h3><strong>Benefits & Perks</strong></h3> <ul> <li>Fast-paced, team-oriented environment where your work directly shapes the company’s direction.</li> <li>We are a 100% remote company. </li> <li>Competitive compensation & meaningful equity.</li> <li>Outsized responsibilities & professional development.</li> <li>Training is foundational; functional, customer immersion, and development training.</li> <li>Medical, dental, and vision insurance (exact benefits vary by region).</li> <li>Unlimited paid time off, with a required minimum of 20 days per year.</li> <li>Paid parental leave (exact benefits vary by region).</li> <li>Flexible stipends to support your workspace, well-being, and continued professional development.</li> <li>Company MacBook.</li> </ul> <p><strong>Please note:</strong> Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns.</p> <h3><strong>On being Remote</strong></h3> <p><span class="notion-enable-hover" data-token-index="0">We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.</span></p> <h3><strong>Equal Opportunity Employment</strong></h3> <p>Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at <a href="mailto:hiring@phaidra.ai">hiring@phaidra.ai</a>.</p> <h3><strong>E-Verify Notice</strong></h3> <p>Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.</p> <p>Additional information about E-Verify can be found <a href="https://drive.google.com/file/d/1E2bNjdEIG-f7tZ2Hg_zFXR2FjT4idYz-/view?usp=share_link">here</a>.</p> <p><em>#LI-Remote</em></p> <p>To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled.</p> <p>Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire.</p> <p class="isSelectedEnd">Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process.</p> <p>All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies.</p> <p><strong>WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.</strong></p></div>

Apply Now

Remote Opportunity

Senior AI Research Scientist (Model-based RL)

Join Phaidra as a mid professional working remotely from France. Explore the role, benefits, and apply in one place.

Senior AI Research Scientist (Model-based RL)

Phaidra

Full Time

GBP 87.681k - GBP 165.379k

4 weeks ago

About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded.

France

Mid

Control theory

Deep Learning

Python

+5 more

Job Description

About Phaidra

Phaidra is building the future of industrial automation.

The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture

Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.

Who You Are

Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector.

Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields.

Drawing on expertise from a variety of disciplines including model-based reinforcement learning, planning and optimal control, deep learning, world models, and safe reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying it to real-world industrial control systems.

Responsibilities

Design, implement, and evaluate model-based reinforcement learning agents — including planning-based controllers (MPC, MPPI) — and the software prototypes needed to deploy them on real industrial control systems.
Develop learned dynamics and world models (learned surrogates) that generalize across systems, including the training pipelines — pretraining, curriculum learning, active/adversarial learning, and fine-tuning — needed to make them reliable for planning and control.
Research and implement methods for e.g. safe RL, constrained control, scenario planning and Bayesian RL, to develop agents that satisfy safety constraints during deployment.
Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
Participate in and organize ambitious collaborative research projects, and work with external collaborators and partners to translate research into production outcomes.
Mentor and guide Research Engineers to apply research findings and developments to industrial domains.
Independently defines new research directions
Translates research into practical outcomes
Owns the development and rollout for an entire research area or large project

Key Qualifications

PhD in a technical field or equivalent practical experience, with a strong background in model-based reinforcement learning and demonstrated knowledge in one or more of the following:
- Planning algorithms
- World models / learned dynamics surrogates
- Reinforcement Learning and Deep Learning
- Control Theory
- Safe / constrained RL
2+ years of research experience in academia or industry after PhD graduation.
Extensive research in the fields of {ModelBased, ModelFree, Safe}RL and Control Theory, with particular depth in model-based methods.
Hands-on experience building and evaluating agents against simulators (e.g. differentiable simulators or world models) and closing the sim-to-real gap.
Share our company values: Collaboration, Transparency, Operational Excellence, Ownership, and Empathy

Preferred Skills & Experience

PhD in machine learning, control, or a closely related field.
Deep, hands-on experience with model-based RL and planning agents applied to real-world dynamical or industrial systems.
Strong Python and PyTorch skills, including vectorized/differentiable simulators and scaling experiments on distributed compute (e.g. Ray, Kubernetes, GCP).
A proven track record of publications in RL, control, or a related area.
A real passion for AI and applying it to industrial systems to improve resource efficiency.

Our Stack

Python
PyTorch, scipy
Kubernetes, Docker, Ray
GCP

Onboarding

In your first 30 days...

You will be immersed in an onboarding program that introduces you to Phaidra and our product.
You will spend time in the research team and get introduced to the different tracks of research that we perform.
You will learn how other teams operate, interact, and approach problems.
You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
You will set up your development environment and get introduced to various parts of our code base.

By your first 60 days...

You will have a solid understanding of what Phaidra does and how we do it.
You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one.

By your first 90 days...

You will have been fully integrated in the team and with team members across the company.
You will have started to contribute to knowledge sharing throughout Phaidra.
Your project is in full swing and you might have some early results already.

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

Meeting with People Operations team member (30 minutes)
Meeting with Hiring Manager (30 minutes)
Meeting with Research team member (60 minutes)
Meeting with Hiring Manager (60 minutes)
Culture fit interview with Phaidra’s co-founders (30 minutes)

Base Salary

Tier 1 (Largest highest-cost metros): £120,276 - £165,379
Tier 2 (Other major metros): £108,248 - £148,841
Tier 3 (Mid-sized metro areas): £97,423 - £133,957
Tier 4 (All other locations): £87,681 - £120,561

In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends.

Benefits & Perks

Fast-paced, team-oriented environment where your work directly shapes the company’s direction.
We are a 100% remote company.
Competitive compensation & meaningful equity.
Outsized responsibilities & professional development.
Training is foundational; functional, customer immersion, and development training.
Medical, dental, and vision insurance (exact benefits vary by region).
Unlimited paid time off, with a required minimum of 20 days per year.
Paid parental leave (exact benefits vary by region).
Flexible stipends to support your workspace, well-being, and continued professional development.
Company MacBook.

Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns.

On being Remote

We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.

Equal Opportunity Employment

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai.

E-Verify Notice

Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.

Additional information about E-Verify can be found here.

#LI-Remote

To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled.

Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire.

Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process.

All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies.

WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Benefits

Dental Insurance
Vision Insurance
Paid Time Off
Parental Leave
Equity

Skills

Control theory

Deep Learning

Python

PyTorch

Model-based reinforcement learning

Planning algorithms

Safe reinforcement learning

World models

Ready to Apply?

Join Phaidra today

Salary Range

GBP 87.681k - GBP 165.379k

Posted 4 weeks ago

More AI roles you might like

Discover similar opportunities from companies that are also hiring remotely.

Senior Project Manager, Global Fulfillment

World Vision

Full Time

6 days ago

With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.

Worldwide

NLP / LLMs

Staff

Project Management

Vendor management

Procurement

+5 more

Sr. Manager, AI GTM & M&A

ServiceNow

Full Time

6 days ago

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy.

United States

Machine Learning

Senior

GTM Strategy

M&A Integration

SaaS

+5 more

Explore more remote openings

Browse fresh listings from our global community of remote-friendly teams.

Project Manager - Commercial Construction

Powerhouse Retail Services LLC

Full Time

6 days ago

Project Manager at Powerhouse Supercharge Your Career at Powerhouse! Powerhouse is looking for a motivated and detail-oriented Project Manager to join our growing team.

United States

Engineering

Backend Engineering

Senior

Project Management

Client Relationship Management

Construction Management

+5 more

Project Manager - Commercial Construction

Powerhouse Retail Services LLC

Full Time

6 days ago

Project Manager at Powerhouse Supercharge Your Career at Powerhouse! Powerhouse is looking for a motivated and detail-oriented Project Manager to join our growing team.

United States

Engineering

Backend Engineering

Senior

Project Management

Client Relationship Management

Construction Management

+5 more

Insurance Litigation Attorney

Cohen Law Group-Florida PA

Full Time

$150k - $250k

6 days ago

Help Us Build Our Arizona Practice What if your next opportunity wasn't just another job? Cohen Law Group is expanding its Arizona practice and looking for an Arizona-licensed attorney who is excited about the opportunity to help shape and grow our presence in the state.

United States

Legal

Mid

Litigation

Insurance Law

Case management

+5 more

Weekend Customer Service Representative (Part Time)

DIRAD TECHNOLOGIES INC

Part Time

6 days ago

This Part Time Customer Service Representative position will assist inbound callers with program inquiries and website utilization. Reliability and flexibility are both crucial for this role. Full training is provided!

United States

Engineering

Backend Engineering

Entry

Customer Service

Verbal communication

Written Communication

+5 more

Technical Program Manager - Embedded Software

EnCharge AI

Full Time

$200k - $250k

6 days ago

EnCharge AI is building a new generation of AI compute systems designed to deliver dramatically higher energy efficiency for AI inference. Our technology combines innovative compute architectures with a full-stack software platform spanning silicon, firmware, drivers, compilers, runtimes, and AI…

United States

Engineering

Backend Engineering

Staff

Technical Program Management

Embedded Software

Silicon Bring-up

+5 more

💥 Make an Impact Become a Life Insurance Producer

GIA Legacy Planning

Full Time

6 days ago

💥About Us: We are a forward-thinking life insurance agency that’s revolutionizing the way producers build their careers. Our mission is to provide outstanding protection for families while creating meaningful opportunities for individuals to grow their businesses within the life insurance industry.

United States

Engineering

Backend Engineering

Entry

Sales

Insurance

Client Relationship Management

+5 more

Head of Growth

Richpanel

Full Time

$160k - $200k

6 days ago

Make Richpanel the company every CX leader knows before they need us. Richpanel is the AI-native helpdesk. We replace the old helpdesk and the next few support hires. We are profitable, backed by Sequoia Capital, and trusted by 3,000+ paying brands. Our team is small by design.

United States

Marketing

Growth Marketing

Senior

Product Marketing

Brand Marketing

Category Creation

+5 more

Creative Designer

Freebird

Full Time

6 days ago

Do you get the same charge from concepting a full campaign as you do from turning around a killer Amazon listing before the end of day? Can you jump from a paid social ad, to an email build, to a landing page, and make all of them feel unmistakably on-brand?

Canada

Design

Product Design

Senior

Visual Design

Figma

Campaign Concepting

+5 more

Senior Full-Stack Developer (Canada)

Proof

Full Time

CAD 135k - CAD 165k

6 days ago

About Proof We're Proof , a high growth company in the legal tech industry founded in 2017. We've built a best-in-class legal services platform used by thousands of law firms with a sustained average growth rate of over 10%.

Canada

Engineering

Full Stack Engineering

Mid

React

TypeScript

+5 more

Senior Full-Stack Developer (Canada)

Proof

Full Time

CAD 135k - CAD 165k

6 days ago

Canada

Engineering

Full Stack Engineering

Mid

React

TypeScript

+5 more

Claims Coordinator (12-Month Contract)

Disability Management Institute

Full Time

CAD 45k - CAD 55k

6 days ago

Claims Coordinator (12-Month Contract) Who We Are At Disability Management Institute (DMI), we deliver innovative, end-to-end disability and absence management solutions that transform how employers support their teams.

Canada

Engineering

Backend Engineering

Mid

Claims Processing

Administrative Support

Customer Service

+5 more