Location: Acharnes, Greece
Alumil, a leader in the development and manufacturing of architectural aluminum systems in Europe, is seeking an Engineering Consultant to join our dynamic sales team.
As an Engineering Consultant, you will play a crucial role in assisting clients with their engineering needs, particularly in n relation to aluminum architectural solutions. Your expertise will help ensure that our products are utilized effectively in various construction projects.
Your responsibilities will include:
Providing technical advice and support to clients, including architects, engineers, and
contractors.
Conducting site visits to assess project requirements and offering tailored solutions.
Collaborating with the sales team to help identify project opportunities and generate
leads.
Staying updated on industry trends, materials, and Alumil's product offerings to ensure
the best client recommendations.
Preparing technical documentation and presentations for clients.
Requirements
A degree in Engineering.
Experience within the construction or aluminum industry is highly desirable.
Strong knowledge of CAD software, particularly AutoCAD.
Excellent communication and interpersonal skills to liaise with diverse stakeholders.
A proactive attitude with strong problem-solving abilities.
Fluency in English.
Ability to work independently and as part of a team.
Benefits
Provision of private life & health insurance
Quarter bonus scheme
Continuous learning and support
Excellent working environment
Custom onboarding plan
Company car & phone
ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent.
ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria.
Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.
Location: Efkarpia, Greece; Athens, Greece
ALUMIL, a global leader in architectural aluminium systems, is seeking an experienced and innovative Façade Designer to join its
International Project team.
The position focuses on the design, development, and optimization of façade systems to meet architectural, functional, and performance requirements.
Role Overview
As a Façade Designer, you will be responsible for coordinating all design stages, managing stakeholders, and delivering optimized, buildable, and compliant solutions.
In this role, you will be engaged from the concept design phase through detailed development and implementation, ensuring compliance with industry standards and company specifications.
Key Responsibilities
Leading façade development from concept to execution, defining system selection, and establishing the technical approach
Evaluating structural behavior and managing critical interfaces like waterproofing, slab edges, and anchoring
Managing design risks regarding thermal, structural, and water tightness while ensuring adherence to international standards
Collaborating with architects and clients on strategy, providing technical support to the commercial department, and approving shop drawings
Overseeing the fabrication process for quality control and performing value engineering to optimize project costs and efficiency
Requirements
University degree in Architecture, Engineering, or related discipline
Minimum 3 years of experience in façade design, preferably in aluminium systems or architectural building envelopes
Proficiency in AutoCAD
Familiarity with façade performance standards and testing procedures
Strong problem-solving skills and attention to detail
Good organizational skills and ability to work collaboratively in multidisciplinary teams
Excellent command of English, both written and spoken
Proactive attitude and ability to manage multiple tasks simultaneously
Benefits
Provision of private life & health insurance
Annual performance bonus
Continuous learning and support
Custom onboarding plan
ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent.
ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria.
Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end.
About the Role
Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines.
Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful.
You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones.
What You’ll Do
Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout
Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning
Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order
Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations
Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for
Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality
Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release
Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step
Who You Are
Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing)
Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates
Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use
Have managed vendors, contractors, quotes, and freight for physical equipment
Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram
Work independently with minimal supervision , and know when to ask
Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information
Communicate clearly and directly, especially when flagging risks or blockers
Strong Candidates May Also Have
Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing
Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up
Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting)
Supported hardware security, firmware, or platform bring-up work
Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.)
Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it
Location
This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Huntsville, AL
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
We are looking for a highly versatile
Data Scientist / AI Engineer
who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations.
The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions.
This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases.
A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance.
Responsibilities:
Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights.
Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools.
Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience.
Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed.
Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas.
Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives.
Education / Experience (Requirements):
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
Strong experience with Python, SQL, data analysis, automation, and dashboard/report development.
Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools.
Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies.
Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations.
Ability to manage multiple priorities and work independently in a fast-paced environment.
Preferred Qualifications:
Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data.
Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization.
Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD.
Experience with forecasting, optimization, workforce planning, or process improvement.
Technical Skills
Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker.
#LI-TF1
Recruiting Range
$90,000
—
$100,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Moldova
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases.
As part of our dynamic team, your responsibilities in this role will include:
Drive the full product lifecycle – from rapid MVP scoping through maintainable production release
Build responsive, well-crafted frontend components using modern frameworks
Design and develop robust, scalable backend APIs and databases built for long-term maintainability
Integrate and manage third-party APIs, ensuring seamless, reliable data flow
Analyze data and build efficient data pipelines (strongly preferred)
Collaborate with cross-functional teams to translate business requirements into clean technical solutions.
Our ideal candidate possesses the following skills:
Senior hands-on experience with modern frontend frameworks (React; Vue is a plus)
Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3)
Strong command of Python and Node.js; experience building REST and/or GraphQL APIs
Proficiency with AWS and Git; comfortable working with CI/CD pipelines
Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews
Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs
Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability
Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats
Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests
Experience with data/web scraping, MarTech, or SalesTech (highly desirable)
Proficiency in Ukrainian and/or Russian language
English proficiency at B2 level or higher.
Nice to have:
Data analysis and data pipeline experience.
What we offer:
Opportunity to shape the backbone systems of a modern, data-driven digital company
A collaborative, innovation-first environment that values initiative and experimentation
Reduced working hours on Fridays during the summer
Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break).
Why join us?
You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Hiring process:
Interview with Recruiter
Technical Interview
Interview with Hiring Manager
Offer.
If you meet these criteria and are excited about contributing to our team, we encourage you to apply.
Location: Spain
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases.
As part of our dynamic team, your responsibilities in this role will include:
Drive the full product lifecycle – from rapid MVP scoping through maintainable production release
Build responsive, well-crafted frontend components using modern frameworks
Design and develop robust, scalable backend APIs and databases built for long-term maintainability
Integrate and manage third-party APIs, ensuring seamless, reliable data flow
Analyze data and build efficient data pipelines (strongly preferred)
Collaborate with cross-functional teams to translate business requirements into clean technical solutions.
Our ideal candidate possesses the following skills:
Senior hands-on experience with modern frontend frameworks (React; Vue is a plus)
Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3)
Strong command of Python and Node.js; experience building REST and/or GraphQL APIs
Proficiency with AWS and Git; comfortable working with CI/CD pipelines
Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews
Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs
Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability
Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats
Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests
Experience with data/web scraping, MarTech, or SalesTech (highly desirable)
Proficiency in Ukrainian and/or Russian language
English proficiency at B2 level or higher.
Nice to have:
Data analysis and data pipeline experience.
What we offer:
Opportunity to shape the backbone systems of a modern, data-driven digital company
A collaborative, innovation-first environment that values initiative and experimentation
Reduced working hours on Fridays during the summer
Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break).
Why join us?
You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Hiring process:
Interview with Recruiter
Technical Interview
Interview with Hiring Manager
Offer.
If you meet these criteria and are excited about contributing to our team, we encourage you to apply.
Location: Romania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases.
As part of our dynamic team, your responsibilities in this role will include:
Drive the full product lifecycle – from rapid MVP scoping through maintainable production release
Build responsive, well-crafted frontend components using modern frameworks
Design and develop robust, scalable backend APIs and databases built for long-term maintainability
Integrate and manage third-party APIs, ensuring seamless, reliable data flow
Analyze data and build efficient data pipelines (strongly preferred)
Collaborate with cross-functional teams to translate business requirements into clean technical solutions.
Our ideal candidate possesses the following skills:
Senior hands-on experience with modern frontend frameworks (React; Vue is a plus)
Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3)
Strong command of Python and Node.js; experience building REST and/or GraphQL APIs
Proficiency with AWS and Git; comfortable working with CI/CD pipelines
Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews
Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs
Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability
Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats
Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests
Experience with data/web scraping, MarTech, or SalesTech (highly desirable)
Proficiency in Ukrainian and/or Russian language
English proficiency at B2 level or higher.
Nice to have:
Data analysis and data pipeline experience.
What we offer:
Opportunity to shape the backbone systems of a modern, data-driven digital company
A collaborative, innovation-first environment that values initiative and experimentation
Reduced working hours on Fridays during the summer
Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break).
Why join us?
You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Hiring process:
Interview with Recruiter
Technical Interview
Interview with Hiring Manager
Offer.
If you meet these criteria and are excited about contributing to our team, we encourage you to apply.
Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases.
As part of our dynamic team, your responsibilities in this role will include:
Drive the full product lifecycle – from rapid MVP scoping through maintainable production release
Build responsive, well-crafted frontend components using modern frameworks
Design and develop robust, scalable backend APIs and databases built for long-term maintainability
Integrate and manage third-party APIs, ensuring seamless, reliable data flow
Analyze data and build efficient data pipelines (strongly preferred)
Collaborate with cross-functional teams to translate business requirements into clean technical solutions.
Our ideal candidate possesses the following skills:
Senior hands-on experience with modern frontend frameworks (React; Vue is a plus)
Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3)
Strong command of Python and Node.js; experience building REST and/or GraphQL APIs
Proficiency with AWS and Git; comfortable working with CI/CD pipelines
Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews
Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs
Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability
Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats
Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests
Experience with data/web scraping, MarTech, or SalesTech (highly desirable)
Proficiency in Ukrainian and/or Russian language
English proficiency at B2 level or higher.
Nice to have:
Data analysis and data pipeline experience.
What we offer:
Opportunity to shape the backbone systems of a modern, data-driven digital company
A collaborative, innovation-first environment that values initiative and experimentation
Reduced working hours on Fridays during the summer
Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break).
Why join us?
You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Hiring process:
Interview with Recruiter
Technical Interview
Interview with Hiring Manager
Offer.
If you meet these criteria and are excited about contributing to our team, we encourage you to apply.
Location: Ukraine
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases.
As part of our dynamic team, your responsibilities in this role will include:
Drive the full product lifecycle – from rapid MVP scoping through maintainable production release
Build responsive, well-crafted frontend components using modern frameworks
Design and develop robust, scalable backend APIs and databases built for long-term maintainability
Integrate and manage third-party APIs, ensuring seamless, reliable data flow
Analyze data and build efficient data pipelines (strongly preferred)
Collaborate with cross-functional teams to translate business requirements into clean technical solutions.
Our ideal candidate possesses the following skills:
Senior hands-on experience with modern frontend frameworks (React; Vue is a plus)
Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3)
Strong command of Python and Node.js; experience building REST and/or GraphQL APIs
Proficiency with AWS and Git; comfortable working with CI/CD pipelines
Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews
Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs
Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability
Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats
Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests
Experience with data/web scraping, MarTech, or SalesTech (highly desirable)
English proficiency at B2 level or higher.
Nice to have:
Data analysis and data pipeline experience.
What we offer:
Opportunity to shape the backbone systems of a modern, data-driven digital company
A collaborative, innovation-first environment that values initiative and experimentation
Reduced working hours on Fridays during the summer
Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break).
Why join us?
You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Hiring process:
Interview with Recruiter
Technical Interview
Interview with Hiring Manager
Offer.
If you meet these criteria and are excited about contributing to our team, we encourage you to apply.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices.
For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Own the experience of our iOS and Android mobile apps, including guiding the adaptation of desktop features to mobile
- Pair closely with mobile engineers and product leads to initiate and complete mobile-specific projects, no hand-offs
- Take opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear
- Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution
- Guide and inspire fellow designers through collaborative critique of work-in-progress across both mobile and desktop platforms
- Use and improve our lightweight design system components
- Help with hiring new teammates that can elevate our team and product
What we’re looking for
- 5+ years experience designing software, with mobile-specific emphasis
- Courage to ask questions, experiment, and advocate for what you feel is right
- Humility to accept feedback, adapt your thinking, and iterate toward the best solution
- Experience with prototyping directly in code, or with tools like Figma, Origami, etc
- Ability to distill problems and feedback, then design clear, focused solutions
- Effective written and verbal communication skills — much of our work is async
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $220,000—$268,250. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- Part I https://linear.app/blog/a-design-reset and Part II https://linear.app/blog/how-we-redesigned-the-linear-ui of how we redesigned the Linear UI
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- Read me https://linear.app/readme a story about our mission
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: Commercial Point, OH
Weekly Pay | 35% Babylist Discount | Paid Holidays | Paid Healthcare Benefits
What the Role Is
At Babylist, we help families prepare for one of the biggest moments of their lives — and our Commercial Point Fulfillment Center is where that promise becomes real. As a
Forklift Operator,
you're a core part of making that happen. You'll move product accurately and safely across our distribution center, working alongside a team that genuinely looks out for each other. This is a role where skilled, dependable people are valued — and rewarded for it.
The schedule for this role is Monday- Thursday 7:30pm- 6:00am at our Fulfillment Center located in Commercial Point, OH.
About Pay
At Babylist we believe in competitive starting pay and a clear, structured scale that rewards performance and tenure. You'll always know how your pay grows.
Starting pay for this role is
$22.50 per hour.
You'll earn a raise every 3 months through your first 18 months with no waiting on an annual review to see your pay move.
Shift Differential
Night shift: additional
$1.50 per hour
Holidays Observed
The Fulfillment Center is closed on the following days for the night shift in 2026:
New Year's Day
Memorial Day
Thanksgiving Day
All shifts receive
4 floating holidays
in addition to the holidays observed, so you can celebrate what matters to you the most, whenever that may be.
Who You Are
Certified and experienced on multiple lift types
— you're comfortable on a Reach Truck, Cherry Picker, Stand-Up Forklift, and Sit-Down Forklift (3+ years on each)
Safety is non-negotiable for you
— you follow protocols because you understand why they exist, not because someone's watching
Steady and dependable
— your team counts on you to show up, stay on task, and keep things moving even when volume spikes
Adaptable across zones and tasks
— shifting priorities don't throw you; you read the floor and adjust
A real teammate
— you communicate clearly, flag issues early, and help others hit the shared goal
How You Will Make an Impact
Move, locate, stack, and count materials throughout the distribution center using the full range of lift equipment
Load and unload trailers safely — keeping outbound on schedule and inbound organized
Support both inbound and outbound operations with accurate, timely material handling
Perform pre-shift equipment inspections and flag maintenance needs before they become problems
Keep your work area clean, organized, and hazard-free — every shift, not just when audited
Step in to support other warehouse functions when the floor needs it
Physical Requirements
Stand and walk for extended periods (up to 10–12 hours per shift) with scheduled breaks
Walk the floor extensively, averaging 10,000+ steps per day
Lift and move items up to 20 lbs regularly throughout the shift
Frequent pushing, pulling, bending, twisting, and repetitive motion
Who We Are
At Babylist, the work our fulfillment teams do reaches millions of families across the country — whether you're on the floor moving product or leading the operation that makes it happen. We're one of the leading platforms for expecting and new families — a $750M business with 10 million customers and eight consecutive years of profitability. Our fulfillment centers are where the mission becomes real, and the people who run them are a core part of how we deliver on it every single day.
Our Ways of Working
Our fulfillment teams work on-site in a fast-paced, team-driven environment where every role — from the floor to leadership — plays a direct part in delivering the Babylist experience to millions of families.
Why You Will Love Working At Babylist
Our Culture
Work hard, then recharge — we respect your time on and off the clock
Strong management team that supports you and your team
The work you do helps millions of families every day
We use smart technology to make the job easier and more efficient
Growth & Development
Clear paths to move up — we promote from within and your performance matters
We use data to improve how we work and invest in the people doing it
Pay & Benefits
Competitive pay
Company-paid medical, dental, and vision insurance
401(k) with company match and flexible spending accounts
Paid parental leave and PTO
Important Notices
Recorded Interviews
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity
AI is part of how we work at Babylist — and we expect the same from the people who join us. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
Connections at Babylist
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email it's not us. Verify open roles at babylist.com/careers.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for an Engineering Manager to lead the Search Platform team. This team builds the search stack behind Claude: the indexes, retrieval and ranking systems and serving infrastructure that power web search across
claude.ai
, the API and agentic surfaces.
Search is core to how Claude answers questions about the world, and the team owns both the problem and the solution end to end: growing the index, improving retrieval quality and running the serving stack at production scale. The same platform also serves research workloads, so demand comes from multiple user surfaces, often at the same time.
The role carries a product dimension. Search sits close to the user experience and PM coverage is thin at times, so often the EM helps decide what a good search experience looks like, not just how to build it. You'll partner with product teams shipping search-backed features, research teams that depend on retrieval quality and capacity, and the infrastructure teams that run the systems underneath.
We're looking for someone with real search experience who can be hands-on when needed: reviewing designs, digging into relevance regressions and holding their own in technical debates.
Key Responsibilities
Lead and grow the team of engineers building Anthropic's search platform: indexing, retrieval, ranking and serving
Own the strategy and roadmap for the platform and how Claude's search needs are met over time
Own search quality: evaluation methodology, relevance measurement, regression detection and the ranking improvements they drive
Operate the platform at scale, balancing product traffic against research and training demand while holding a high bar on reliability, latency and cost
Wear the product hat when the work calls for it: prioritize what the search experience needs, sequence launches and represent search in product discussions
Drive cross-team collaboration with product, research and infrastructure partners; articulate dependencies, risks and progress clearly
Be hands-on where it matters: design reviews, incident follow-ups and the occasional deep dive into why relevance moved
Recruit, close and retain strong engineers in a competitive market
Minimum Qualifications
Significant experience managing engineering teams, including hiring and growing a team through rapid change
Direct experience building or operating search systems at scale: indexing, retrieval, ranking or query serving
Enough technical depth to be hands-on when needed; you can review designs, read code and engage credibly with senior ICs
A product mindset and comfort making product calls when there isn't a PM in the room
A track record of running high-scale, latency-sensitive production systems with real reliability requirements
Strong cross-functional skills; you can align product, research and infrastructure partners with different priorities
Experience recruiting and closing senior engineers
Interest in AI safety and Anthropic's mission
Preferred Qualifications
Experience with the economics of search: index freshness, storage and serving costs, quality vs cost tradeoffs
Background in embeddings, ranking models or ML-based retrieval
Experience migrating traffic off a vendor onto in-house infrastructure
Exposure to LLM products and the retrieval demands of large-scale training and inference
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As Principal Product Manager, Software Factory, you’ll define and bring together GitLab’s end-to-end software creation experience, from planning and specification through coding, review, and verification. You’ll connect capabilities across GitLab Duo Agent Platform and the wider GitLab product so customers have a cohesive and delightful experience. This is a senior, high-visibility role for a product leader who can shape product direction, work across organizational boundaries, and clearly present recommendations to executive leaders.
What you’ll do
Define the product vision and strategy for GitLab’s end-to-end software factory experience.
Bring together planning, specification, coding, review, and verification workflows into a cohesive product experience.
Partner with product, engineering, design, and go-to-market teams across GitLab to align priorities and execution.
Identify gaps, dependencies, and opportunities across GitLab Duo Agent Platform and related areas of the GitLab product.
Use strong product and design judgment to make complex workflows clear and useful for customers.
Build support for product decisions through clear communication, negotiation, and cross-functional collaboration.
Present product direction, tradeoffs, and recommendations to senior and executive leaders.
Help shape how GitLab brings its software factory vision to market.
What you’ll bring
Product management experience at principal scope, leading complex products or experiences across multiple teams.
A strong understanding of the end-to-end software development workflow, from planning through verification.
Experience with artificial intelligence products, developer tools, DevSecOps platforms, or related technical products.
Technical judgment that supports effective collaboration with engineering teams and informed product decisions.
Strong product design and user experience instincts, including the ability to connect separate capabilities into a coherent experience.
Experience influencing across functions, resolving competing priorities, and moving work forward without relying on direct authority.
Clear communication and presentation skills, including experience working with senior and executive leaders.
An ownership mindset and the ability to make progress in a fast-changing product area with some ambiguity.
We welcome candidates with different backgrounds and transferable experience. If this role excites you, we encourage you to apply even if you don’t meet every qualification.
About the team
This role will work across GitLab to connect the teams building the future of our AI-powered DevSecOps platform. You’ll partner closely with the GitLab Duo Agent Platform organization and with product areas that own key parts of the software development workflow. The team’s central challenge is to turn work delivered across several groups into one clear, end-to-end experience for customers while supporting GitLab’s mission to enable everyone to contribute to and co-create the software that powers our world.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Annapolis, MD
Position Objective:
Facilitates the exchange of clinical information and authorization between the hospital and the third party payors, providing direct support to the utilization review process.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Reviews each Case Managers daily work list to identify the clinical reviews due to the payor that day. Reports trends in Case Managers failing to provide timely reviews to Care Management leadership.
Communicates medical record clinical information telephonically, written via fax, or electronically to payors to obtain authorization for admission, continued stay or levels of care, and documents in medical record.
Verifies the payor responds to the clinical update provided. Contacts payor if a response is not received. Initiates appropriate action when a discrepancy in admission status, authorization number or need of clarification is identified. Communicate with Case Manager, Care Management leadership, Physicians or Physician Advisors when there are concerns requiring their assistance.
Assures the Case Manager is kept informed of determinations and is notified promptly if additional information is requested or notification of potential denial/denial is received.
Obtains insurance authorization and submits timely clinical information and feedback to the Payors and Care Management nurses; Completes Medical Assistance 3808s
Educational/Experience Requirements:
High school diploma or equivalent.
One year work experience to include billing/collection experience and/or experience with Medicare, Blue Cross and Medicaid.
Required
License/Certifications:
N/A
Working Conditions, Equipment, Physical Demands:
There is a reasonable expectation that employees in this position will not be exposed to blood-borne pathogens.
Physical Demands -
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Pay Range
$19.30
—
$28.94 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Remote - British Columbia, Canada
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.
This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.
Responsibilities:
Design the Future of Ads Identity:
Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
Advance Lift Methodologies & Experimentation:
Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
Maximize Signal for Predictive Performance:
Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
Define Ground Truth & Evaluation Frameworks:
Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
Lead Through Cross-Functional and Technical Influence:
Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
Qualifications:
Required:
Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 10+ years of industry experience in applied science or data science roles
For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
Deep understanding of the ads ecosystem
Demonstrated expertise in at least one of the following areas:
Measurement & Experimentation at Scale (with focus on lift and attribution)
Identity Graph Creation & Resolution Methodology and Infrastructure
Predictive Modeling with Signal Loss
Advanced proficiency in statistical programming (Python or R) and SQL.
Experience with machine learning or optimization techniques
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
Experience working in fast-paced, ambiguous environments with cross-functional teams
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Commercial Named Account Executives are the primary point of contact between prospective and existing customers of GitLab within the top end of the mid-market, which currently works with companies that employ between 2,500 to 4,000 employees. These GitLab team members manage the spectrum of project sizes, ranging from small fast growing teams in smaller agile organizations to complex enterprise projects advising on the journey with GitLab to achieve specific business outcomes.
Commercial Named AEs work closely in tandem with the business development team and sales management to manage a broad book of business spread over a large opportunity value range and focus on exceeding client expectations.
This person must be located in Central, Mountain, or Pacific Timezones.
What you'll do
Meet or exceed quota while fostering strong customer relationships
Articulate the value of GitLab to our
Commercial
prospects and customers in the US Western region
Take ownership of and act as the CEO for the book of business in your territory:
Document the buying criteria & process, next steps & owners
Build a strong pipeline through a healthy cadence of prospecting activity
Prospect and close new business to expand your territory
Ensure adoption of our solutions and do your best to avoid churn and contraction
Work and collaborate with our Partner ecosystem to drive new business and value for our customers
Create an accurate forecast for each quarter against your plan/budget
Drive attendance to our events, which you will be part of to further network with current and prospective customers
Contribute to root cause analyses on wins/losses.
Communicate lessons learned to the team, including account managers, the marketing team, and the technical team.
Contribute to documenting improvements in our
sales handbook
Collaborate with cross-functional teams, such as Customer Success, Renewals, Sales Development, etc. to provide account leadership, ensuring a good outcome for our customers in the pre- and post-sales process
Be the voice of the customer by contributing product ideas to our public
issue tracker
Master MEDPICC and Command of the Message on all opportunities
What you'll bring
A true desire to see customers benefit from the investment they make with GitLab
Demonstrated progressive experience with SaaS sales through pitching on value to development team (preferably devops)
Interest in GitLab, and open source software
Ability to leverage established relationships and proven sales techniques for success
Effective communicator, strong interpersonal skills
Motivated, driven and results oriented
Excellent negotiation, presentation and closing skills
Preferred experience with Git, Software Development Tools, Application Lifecycle Management
You share our
values
, and work in accordance with those values.
The ability to travel for events such as trainings, team off sites, customer meetings, etc. and comply with the company’s
travel policy
Remote-Global
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$91,600
—
$154,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
Are you an engineer who loves diving deep into ML models, building standalone CLI tools, and exploring how far AI agents can go in autonomous coding? Do you want to rethink how software is built and use the tools you create every single day?
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI. We're combining the latest advancements in AI and LLMs with our decades of software development expertise.
We are working in three main areas: growing Junie CLI into a general-purpose agent independent of any IDE, optimizing model ensembling and setups for the best cost-to-intelligence ratio without compromising code quality, and pushing next-level autonomy so Junie can own, maintain, and evolve entire subsystems over multi-day horizons.
You’ll have end-to-end ownership over these initiatives, taking work from early research to production code while shaping the future of autonomous development.
Day to day, you will:
Develop and ship new features for Junie across CLI and model integrations.
Experiment with model setups, ensembling, and cost efficiency strategies.
Build and test autonomous agent behaviors for long-term project maintenance.
Own the full development cycle from initial research to production-ready code.
Use Junie daily to continuously iterate on its quality and user experience.
What you’ll bring
Comfort taking full ownership of decisions and implementation.
The curiosity to challenge assumptions and experiment with new ideas.
The ability to learn new concepts quickly and adapt quickly.
A mindset focused on long-term impact rather than short-term workarounds.
Strong interest in autonomous AI systems and software engineering tools.
What you’ll need
A proven track record of developing and shipping machine learning or full-stack software products.
Hands-on experience working with LLMs, prompt engineering, or agentic workflows.
The ability to write high-quality production code across the full development lifecycle.
Practical experience building or fine-tuning ML models.
What success looks like
In this role, success means taking bold experiments in agent autonomy and cost efficiency and turning them into reliable, production-ready capabilities. You'll know you're succeeding when Junie can tackle complex multi-day engineering tasks autonomously and the tool you build every day actively improves your own engineering workflow.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: India
ABOUT THE ROLE
Human Archive (YC W26) is hiring someone to lead our end-to-end data annotation operations.
You will work directly with the founder to build and manage a high-performing annotator workforce for robotics data. Your job is to ensure we consistently have the right people, quality, and throughput across multiple projects running simultaneously.
This is a highly hands-on role for someone who is excellent with people, metrics, and fast-moving operations.
WHAT YOU WILL DO
- Recruit, evaluate, and manage high-quality data annotators
- Maintain a high bar for annotation quality and workforce performance
- Allocate annotators across multiple simultaneous projects
- Track daily throughput, quality, attendance, utilisation, and project targets
- Build dashboards and operating systems with our engineering team
- Identify bottlenecks and improve annotation workflows
- Design incentives that help teams consistently meet daily targets
- Forecast staffing requirements for upcoming projects
- Manage team leads and resolve day-to-day operational issues
- Build processes that can scale from hundreds to thousands of annotators
WHO WE ARE LOOKING FOR
- Extremely good with people and frontline teams
- Strong analytical ability and comfort with metrics and dashboards
- Excellent at prioritisation and resource allocation
- Highly organised and able to manage multiple projects at once
- Creative about incentives, hiring, performance, and operations
- Clear, direct, and fast communicator
- High ownership, energy, urgency, and agency
- Comfortable working in a demanding, fast-changing startup environment
Experience at companies such as Surge AI, Scale AI, Mercor, Turing, Outlier, Remotasks, or similar workforce and data-operations businesses is a strong advantage.
We care more about your ability to execute than your degree, credentials, or years of experience.
LOCATION
On-site in Bangalore.
leadIndia
Efkarpia, Greece; Athens, Greece
San Francisco, CA | New York City, NY
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.
УдалённоThis role is open to candidates based in North America
Commercial Point, OH
San Francisco, CA | New York City, NY
УдалённоRemote, Canada; Remote, United States
География найма не уточнена
УдалённоRemote - British Columbia, Canada
УдалённоRemote, United States; This person must be located in Central, Mountain, or Pacific Timezones; The base salary range for this role’s listed level is currently for residents of the United States only