Location: India
We are offering a driven and innovative individual an opportunity to become part of our company (MortgageCadence) as a SEO Specialist. We are looking to add new people to our ever-growing team and are seeking to find people to grow along with us!
Do you think outside the box? Are you driven? Do you wake up daily desiring to win? Do you want to create a strong marketing program and brand image? Well, if so, we encourage you to apply with us as this is a place where we will help you to thrive in our growing enterprise.
We Are Looking For Someone Who Can:
Create marketing strategies with a focus on lead generation.
Take ownership in developing and executing SEO campaigns.
Manage and keep fresh content on our website.
Analyze website conversation rates and the effectiveness of promotions.
Utilize Google ads to drive a variety of online marketing campaigns
Work with the product development team to estimate product demand
Requirements
Experience of planning successful product launches and events.
Has between 5 to 8 years of experience.
Previous experience in running successful SEO campaigns.
Knowledge of market-related business practices, including content development, market research and budgeting.
Has some technical knowledge of Wordpress, Google Suite and the Adobe Creative Suite.
Previous experience with SEO programs (Google Analytics)
An outgoing personality and enjoys working with a dynamic team.
Benefits
Location: Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Dhahran, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar
The Drafting Trainer is responsible for planning, delivering, and evaluating technical training programs in drafting for trainees and employees. The role involves classroom instruction, practical demonstrations, assessment of trainee performance, and the development of training materials. The trainer ensures that trainees acquire the knowledge and skills required to perform drafting work in accordance with industry standards and organizational requirements, particularly within the Oil & Gas sector.
Requirements
Plan, prepare, and deliver classroom and practical drafting training programs covering basic, intermediate, and advanced drafting techniques and standards.
Develop and maintain training materials, including lesson plans, presentations, training manuals, quizzes, examinations, and instructional resources.
Assess trainee performance through written and practical evaluations, provide constructive feedback, and recommend improvement plans.
Monitor trainee attendance, progress, and classroom discipline to maintain an effective and productive learning environment.
Maintain accurate training records, assessment results, and documentation in accordance with company procedures.
Ensure training activities comply with company policies, engineering standards, and Health, Safety, and Environment (HSE) requirements while supporting continuous improvement of training programs.
Requirements.
Bachelor's Degree in Engineering, Associate Degree/Two-year Diploma in Drafting Technology, or High School/Vocational Diploma in Engineering Drawing or Drafting
Minimum
4 years
of relevant Oil & Gas industry experience (with a degree) or
11 years
(without a degree).
Fluent in spoken and written English with a minimum of
IELTS 6.0
or equivalent TOEFL score (Arabic proficiency is an advantage).
Proficiency in
MicroStation
and/or
AutoCAD
, with experience in mechanical, civil, structural, or architectural drafting.
Experience in training, mentoring, coaching, or delivering classroom and practical technical instruction.
Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Dhahran, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar
Location: Hanoi, Vietnam
Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
Flexibility
- each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
Frequent opportunities
- perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
Choose your assignments - align your missions with your personal preferences and profile.
Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
Observe carefully - check the ambiance, service quality, and overall customer experience.
Provide honest feedback - use our platform to share your observations through questionnaires.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform,
CXG Live
. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Benefits
This is a freelance, project-based position
Flexible working hours
Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity.
Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
Hanoi, Vietnam
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Riyadh, Saudi Arabia
The Senior Transportation Planning & Traffic Safety Engineer is responsible for leading transportation planning and traffic safety initiatives, ensuring compliance with international engineering standards and best practices. The role involves conducting technical reviews, supporting traffic engineering studies, and coordinating with internal stakeholders and government authorities to enhance road safety and traffic mobility.
Experience
The ideal candidate must have a minimum of
10 years of relevant experience
, primarily in:
Transportation Planning
Traffic Engineering
Traffic Safety Engineering
Key Responsibilities
The selected candidate will be responsible for, but not limited to, the following:
Liaise with company representatives and government authorities to support and implement traffic and transportation safety improvements.
Serve as the technical lead for traffic safety engineering assignments and provide technical guidance, supervision, and mentorship to junior engineering staff.
Review and develop scopes of work for transportation-related studies and projects, including:
Road Safety Audits (RSA)
Traffic Impact Studies (TIS)
Temporary Traffic Management (TTM) Plans
Other transportation engineering and traffic safety studies
Provide technical support and engineering recommendations to internal and external stakeholders to improve traffic operations, mobility, and road safety.
Review roadway designs, engineering specifications, and proposed infrastructure improvements within and surrounding company facilities, ensuring compliance with applicable industry standards and best practices.
Prepare technical reports, engineering studies, meeting minutes, correspondence, presentations, technical notes, and other project documentation.
Support the continuous development of the Traffic Safety Services Engineering team by establishing technical training programs, promoting knowledge sharing, and improving engineering processes and best practices.
Technical Requirements
The candidate must demonstrate strong technical expertise in:
Highway Design
Transportation Planning
Traffic Engineering
Traffic Safety Studies
Road Safety Audits
Traffic Impact Assessments
Temporary Traffic Management
Traffic Operations and Mobility Analysis
Required Skills
Thorough knowledge of international transportation engineering standards and guidelines, including:
AASHTO Green Book
Highway Capacity Manual (HCM)
Highway Safety Manual (HSM)
Manual on Uniform Traffic Control Devices (MUTCD)
Institute of Transportation Engineers (ITE) Guidelines
Federal Highway Administration (FHWA) Standards and Guidelines
Excellent analytical, problem-solving, and technical evaluation skills.
Strong written and verbal communication skills with the ability to prepare high-quality engineering reports, technical specifications, presentations, and professional correspondence.
Ability to effectively coordinate with multidisciplinary teams, government agencies, consultants, and contractors.
Education
Bachelor's degree in
Civil Engineering
or related with specialization in
Transportation Planning and Traffic Engineering
. A Master's degree in Transportation Engineering or a related discipline is preferred.
Professional Certifications (Mandatory)
The candidate must hold at least one of the following professional certifications or licenses:
Professional Engineer (PE)
Professional Traffic Operations Engineer (PTOE)
Professional Transportation Planner (PTP)
RoSPA Road Safety Certification
Road Safety Professional (RSP)
Equivalent internationally recognized professional certifications will also be considered.
Location: Remote
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
Requirements
- Strong experience building and owning production backend services in Python
- Strong SQL skills and confidence working with data-heavy systems (analytics, metrics, logging)
- Experience with monitoring, alerting, and debugging user-facing systems
- Ability to ship maintainable software (tests, code review, incremental delivery)
NICE TO HAVE
- Knowledge of SEO fundamentals
- Experience with APIs & auth (OAuth2, GA4 and Google Search Analytics API)
- Experiente working with non-structured data (referrers, canonical URLs, page types)
- Experience building data integrations between products
- Understanding of ETL/ELT workflows on PySpark
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget - refreshed each year for every employee
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
AT CONSTRUCTOR.IO http://Constructor.io WE ARE COMMITTED TO CULTIVATING A WORK ENVIRONMENT THAT IS DIVERSE, EQUITABLE, AND INCLUSIVE. AS AN EQUAL OPPORTUNITY EMPLOYER, WE WELCOME INDIVIDUALS OF ALL BACKGROUNDS AND PROVIDE EQUAL OPPORTUNITIES TO ALL APPLICANTS REGARDLESS OF THEIR EDUCATION, DIVERSITY OF OPINION, RACE, COLOR, RELIGION, GENDER, GENDER EXPRESSION, SEXUAL ORIENTATION, NATIONAL ORIGIN, GENETICS, DISABILITY, AGE, VETERAN STATUS OR AFFILIATION IN ANY OTHER PROTECTED GROUP.
STUDIES HAVE SHOWN THAT WOMEN AND PEOPLE OF COLOR MAY BE LESS LIKELY TO APPLY FOR JOBS UNLESS THEY MEET EVERY ONE OF THE QUALIFICATIONS LISTED. OUR PRIMARY INTEREST IS IN FINDING THE BEST CANDIDATE FOR THE JOB. WE ENCOURAGE YOU TO APPLY EVEN IF YOU DON’T MEET ALL OF OUR LISTED QUALIFICATIONS.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Technical Project Lead on the HPC team, you will oversee the delivery of Mistral’s high-performance computing projects from deployment to production. This role exists to ensure our HPC clusters are delivered on time, within budget, and aligned with technical and operational goals. You will manage critical resources, negotiate with data centers and infrastructure providers, and facilitate collaboration across teams. Based in Paris or London (with frequent travel to Paris if remote), your work will directly impact Mistral’s ability to scale its AI infrastructure.
What You Will Do
- Oversee the delivery of Mistral’s HPC clusters, from hardware deployment to production readiness.
- Strategically manage project timelines, deliverables, and milestones to ensure on-time completion.
- Allocate resources and manage budgets to support project goals.
- Negotiate with data centers and infrastructure providers to secure necessary agreements.
- Facilitate cross-functional collaboration to align technical and operational objectives.
- Communicate project progress and strategic direction to stakeholders.
- Implement quality control measures to ensure adherence to project standards.
What We're Looking For
- Technical degree in computer science, general engineering, or a related field.
- Proven experience in large infrastructure project management, preferably in HPC or related fields.
- Deep program management experience with a track record of delivering complex projects.
- Excellent communication and stakeholder management skills.
- Strong negotiation skills for vendor and partner engagements.
- Ability to work collaboratively in cross-functional team environments.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Palo Alto; New York; San Francisco; Montréal
Workplace: Remote
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.
What You Will Do
- Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
- Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms.
- Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
- Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
- Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.
What We're Looking For
- Strong Linux system administration experience at scale.
- Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
- Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
- Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions.
- Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Stockholm; Madrid; Amsterdam; London; Berlin
Workplace: Remote
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.
What You Will Do
- Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
- Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms.
- Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
- Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
- Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.
What We're Looking For
- Strong Linux system administration experience at scale.
- Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
- Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
- Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions.
- Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote - Colombia
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Technical Account Manager
About the job
Twilio is looking for an experienced Technical Account Manager who is going to be the designated technical support engineering contact for our strategic customers. As a designated TAM you will be supporting customers during
Pacific hours (8am to 5pm PT)
and working on the cases created by customers and resolving complex technical problems with potentially very costly and far-reaching consequences. You should have an interest in digging deep as well as be able to zoom out and look at the larger picture. The TAM delivers proactive guidance to the customer to provide added value through the use of Twilio technologies and deliver recommendations to make the customer’s environment less susceptible to business impacting downtime. You are able to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency. There will also be the potential need to volunteer for holiday coverage on a stipend basis.
Responsibilities
In this role, you’ll:
Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams.
Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences.
Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs.
Understanding customer trends, analyzing patterns, driving betterments and reporting what you observe to the management team in order to better improve our support process is a key part of the role.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
4 to 6+ years of relevant experience
Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions.
Broad capabilities to troubleshoot server-side code (Java, Node.js, PHP, C#, Python) and client-side JavaScript, with a good understanding of React and Redux
Development experience in a scripting language (REACT, Node.js, Javascript, Python)
Skilled in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS.
High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums
Comfortable in working with customers’ developers to troubleshoot use of the Twilio helper libraries.
Have an inquisitive mind to understand how things work
Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures.
Excellence in task prioritization and evaluation of situational urgency.
Interest in utilizing customer feedback to identify and drive improvements in our products.
Enthusiasm for interacting and collaborating with other departments within Twilio in your search for the solutions our customers need.
Ability to stand in the customer’s shoes and demonstrated dedication to the customer experience.
Experience in managing dedicated customer accounts.
Desired:
Understanding of Telecoms and VOIP including WebRTC and SIP
Location
This role will be remote and based in Bogota, Colombia, providing support during 9am to 6pm US Central Time
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote, Worldwide
Workplace: remote
About Distru
Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack.
We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor.
Get to know the team, our culture and our full benefits at distru.com/careers!
The Role
AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on.
We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it.
You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including:
Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems)
MCP: our MCP that connects Distru to external AI harnesses
Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers
Evals: the eval suites that make our agents reliable in production
And more…
You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold.
You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers.
What you'll do
Agentic engineering
Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems
Iterate and maintain the MCP that connects Distru to Claude & Codex.
Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high.
Write evals to improve our agentic systems from real customer use cases
Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP
Build a contextual memory system that ingests our customers' data and improves how our agents work for them
AI research & experimentation
Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge
Rapidly prototype new ideas to present to our team and our customers
Engineering workflow
Build hands-on with Claude Code and similar tools as part of your own workflow
Improve our agentic coding workflow and bring new discoveries to the team
What success looks like at 6 months
You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement
You’ve shipped and iterated on many MCP tools and improvements
Every agent you own has an eval suite and observability, so the team catches regressions before customers do
You own a part of the agentic stack and are the go-to person for it across the company
You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers)
What we look for
AI fluency
For every AI role, we look for three things:
Tool fluency:
you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does.
Workflow fluency:
you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one.
Build fluency:
you've put agents in front of real users, with guardrails, observability, and a way to roll back.
You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it.
Must have
5+ years in full-stack development, ideally on B2B SaaS applications
Multi-agent harnesses:
hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects
MCPs:
you've built MCPs that are used in production
Production systems:
a strong grasp of reliability, observability, permissions, and safe workflow execution
Product and engineering:
you've operated as both, and you're comfortable owning scoping and decisions, not just implementation
Modern stack:
proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly
Startup agility:
you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments
Low ego:
you're team-first and measure success by what shipped and whether it worked, not by internal politics
Clear communication:
you raise concerns and propose solutions before being asked
Strong signal
Background building supply chain, ERP, CRM, B2B marketplace, or accounting software
UX design experience
Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols
Experience using Claude Code (or similar) to build products on your own
Cannabis industry experience
How we work
We love building with AI.
Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools.
Taste in building.
A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user.
We stay close to the customer.
You'll talk to customers and our GTM team directly, not through a chain of tickets.
You'll build on what we've learned.
You'll have access to the team's combined AI knowledge and the processes and skills we've built.
For the full picture of our culture and who thrives here, see
distru.com/careers
.
Benefits
Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru.
Here are a few highlights (exact benefits vary by country and employment type):
Fully remote across 4 continents
Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave
18 days PTO + 11 holidays (sick days don't count toward PTO)
Medical, dental, vision + 401(k) for US employees
The best AI tools available and a generous AI stipend for everything else
Yearly in-person team offsites
Interview process
Application questions: three short written questions in Lever on how you build with LLMs
Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack
Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup
Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details
Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes
References and offer
Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world.
Where you land in the range depends on your experience and skills.
Location: New York, United States
Workplace: hybrid
Our client, a leading creative production company based in New York, is seeking a Senior Graphic Designer to join their team and contribute to their creative vision while helping bring ideas to life.
Key Qualifications
7+ years of experience in graphic design.
Proficiency in Adobe Creative Suite and Figma.
Strong typography skills are required and are a core part of this role.
Experience working with beauty, fashion, or luxury brands.
A strong portfolio showcasing relevant work.
Design visually compelling graphics for digital and print platforms.
Apply strong typography, layout, and hierarchy principles across all work.
Collaborate with cross-functional teams to execute design projects aligned with brand guidelines.
Manage multiple projects and deadlines while maintaining high-quality work.
Ability to work 3 days on-site and 2 days online.
Bachelor’s degree in Graphic Design, Visual Arts, or a related field (or equivalent experience
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next.
You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly.
You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver.
The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers.
The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering.
What you will do
Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements.
Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence.
Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers.
Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers.
Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads.
Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit.
Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market.
Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides.
What we are looking for
Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform.
Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs.
Ability to turn an unfamiliar customer problem into concrete infrastructure requirements.
Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs.
Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability.
Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics.
Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling.
A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it.
Helpful experience
Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption.
Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs.
NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring.
Model serving with vLLM, SGLang, TensorRT-LLM, or TGI.
Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos.
Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York, New York
About Us:
EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of
Inc.’s Best Workplaces
3 years in a row and Built In’s Best Places to work in 2025 and 2026!
As a
Business Analyst
on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy.
You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities.
Key Responsibilities:
Report Quality:
Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question.
Scale Reporting Infrastructure:
Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt
Data Storytelling:
Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients.
Stakeholder Synthesis:
Translate complex model behaviors (e.g., propensity to close, intervention scoring) into actionable insights for claims adjusters and executive leadership through in depth analytics.
Requirement Architecture:
Collaborate with senior DS&I team members to define "Success Events" for new AI features, ensuring that technical builds align with the Behavioral North Star of the product.
Required Qualifications:
5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning.
Analytical Rigor: Proficiency in Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker) to perform independent "deep dives" into claim performance data.
Strategic Communication: Proven ability to explain the "Why" behind an AI recommendation to non-technical users.
Domain Expertise: Familiarity with claims management workflows, "duration compression" concepts, and the regulatory landscape of disability insurance is preferred
Work-life, Culture & Perks:
Compensation:
The base salary range is
$165-180K,
with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being:
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family:
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life:
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training:
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship:
We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact.
WHAT YOU’LL ACHIEVE
- Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback.
- Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
- Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
- Build internal tools and platform improvements that help all engineers ship quickly and safely.
- Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
AREAS YOU MIGHT WORK ON
- Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value.
- Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation.
- Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Director of Product to lead our Financial Incentives team. This role will report to the Head of Product. Your team owns the financial layer that drives world-class engagement amongst Garner members and steers them to top-performing providers by making Garner the most convenient and affordable way to pay for healthcare.
You will lead 3-4 teams responsible for the member-facing incentive experience, our portfolio of payment mechanisms (card, HRA, HSA contributions, direct provider payment, and emerging alternatives), employer-facing plan design and coverage policies, and the core platform that adjudicates claims, moves money, and reports on it. Today, Garner reimburses $100M+/yr and growing in patient bills annually: you will be responsible for making that experience delightful for members, trusted by employers, and resilient at scale.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the strategy and roadmap for Garner’s Financial Incentives portfolio, spanning the member incentive experience, the suite of payment mechanisms (card, HRA, HSA, direct provider payment), employer-facing plan design and coverage policies, and the underlying claims adjudication, payments, and ledger platform.
Build, mentor, and scale a high-performing product management team (4 PMs and growing) and develop the next generation of PM leaders at Garner.
Act as Garner’s internal and external-facing executive-level subject matter expert on financial incentives, payment mechanics, and the operational systems that move money reliably at scale.
Partner closely with Engineering, Design, Operations, Finance, Legal, Compliance, Clinical, and GTM teams to ship trusted, mission-critical products.
Define the metrics that matter and rally the organization around them.
Make sharp prioritization decisions across a portfolio with high regulatory complexity, high customer expectations, and significant 0-to-1 product surface area still to build.
The ideal candidate has:
8+ years of product management experience, including 3+ years managing and developing product managers.
Demonstrated experience building and shipping financial products at scale — payments, ledgers, card programs, consumer financial experiences, or other money-movement systems.
Deep expertise in at least one of payment infrastructure (rails, settlement, reconciliation, ledger) or consumer financial products (card, rewards, reimbursement, HSA/HRA-like instruments) at scale.
Track record of leading both 0-to-1 product development and the scale-up of production systems, comfortable building net-new platforms and improving systems already moving real money.
Strong technical fluency—can credibly engage engineering on system design, data models, APIs, and reliability tradeoffs.
Exceptional written and verbal communication, with the ability to drive alignment with executives, internal teams, and external partners.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base salary range for this position is $323,000 - $379,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Product Manager to lead our Payment Foundations team, responsible for building a secure, reliable, and scalable platform for money movement across Garner. This role is the core platform enabling Garner’s financial incentives, which drives best-in-class health and financial outcomes for patients and employers. This role reports to the VP of Product Management.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own Garner’s payments platform strategy and roadmap, including payment systems, financial ledger, payments data products, and payment operations tools.
Be the internal and external owner for Garner’s payment partner and vendor integrations, including our payment processing and card vendors, bank partners, and HSA provider integrations.
Drive development of APIs, integrations, and platform capabilities that enable teams across Garner to initiate, track, and reconcile money movement safely and reliably.
Establish company-wide standards for compliance, financial reporting, and incident response.
Partner with product, engineering, operations, legal, and finance to enable 0-to-1 payments products and use cases. Example projects include designing a financial ledger to record member account balances and transactions, developing automated integrations with Health Savings Account providers to make deposits on behalf of members, and expanding reimbursement methods for members through Paypal or Venmo.
The ideal candidate has:
5+ years of Product Management experience, including at least one role owning a technical or platform product end-to-end
Strong systems thinking and detail orientation — you instinctively look for edge cases and reason from first principles about how systems can fail
Strong technical background, with experience owning technical products APIs, integrations, and data systems
Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders
Bonus: experience building financial or other highly-regulated products, or large-scale financial systems
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $222,000 - $245,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
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