Location: Remote - United States
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
.
The Messaging Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale streaming infrastructure and distributed messaging infrastructure problems.
Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
Our messaging layer receives 50+ millions of messages/second serving 100GB/s of network traffic. We do this while efficiently storing over a petabyte of live topic data across ~1k brokers. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio.
In your day-to-day, you can expect to:
Contribute to developing the team and organization’s long term technical strategy.
Refine and maintain our messaging infrastructure to support the asynchronous communication of services supporting hundreds of millions of users.
Own the infrastructure (managed and self-hosted) that supports produce and consume requests along with the necessary tooling and automation to efficiently operate the infrastructure.
Who you might be:
5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure.
Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java
Experience working closely with technologies like Kafka, and Kubernetes. Strimzi is a huge plus!
Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems.
Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
Degree in Computer Science or equivalent technical field.
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
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
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: United States- Fort Worth, Texas
Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better.
Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor.
Principal Duties/Responsibilities:
· Performs mid to expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools.
· Identifies and sources parts, supplies and repair items as necessary.
· Independently performs maintenance as per industry standards.
· May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks.
· Complies with 5S and housekeeping standards.
· Drives and participates in CI activities - processes, results and cost savings.
· Updates records and reviews CMMS history.
· Troubleshoots and analyzes control systems to resolve software/ hardware and configuration problems.
· Utilizes predictive maintenance technologies to collect equipment performance data.
· Provides assistance to lower level technicians and leadership to small teams. Performs more advanced functions as a part of training and development.
· Completes on-the-job and technical self-study programs for career development.
· Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions.
Knowledge, Skills, Abilities, & Behaviors Required:
· High School Graduate or equivalent (GED).
· Associates degree with a Technical focus and 3 years of related experience in general industry; or 5 years of related experience in general industry or successful completion of the ATS Technician Progression Program.
· Understands electrical, mechanical, fluid power and control systems. Can analyze problems and perform repairs.
· Must be able to use basic hand tools and specialized tools as appropriate
· May be required to travel.
Physical Demands and Working Conditions:
While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.
ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more.
Pay Range
$30.25
—
$38.68 USD
ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy
here.
ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí
here.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Customer Activation Managers at Ramp strive to deliver value to our customers and revenue for our business by implementing Ramp’s products for newly closed customers. You will have the opportunity to help build, lead, and refine Ramp’s Implementation organization and define the customer strategy that fuels our growth. This role combines strategy, operational leadership, and management of onboarding projects to ensure that new customers realize value from Ramp’s platform quickly and effectively.
WHAT YOU'LL DO
- Ensure fast, thorough, and complete onboarding of new Ramp customers by partnering with Commercial Account Managers to educate new customers on Ramp’s functionality and best practices
- Work with new customers to deeply understand their current workflow, pain points, and obstacles to full rollout
- Drive revenue for Ramp by ensuring there are no unnecessary delays in the implementation process and continuing to sell the customer on why implementing Ramp is a high-value initiative
- Become an expert in the full range of integration and configuration options for Ramp’s suite of products
- Partner closely with the product team to ensure customer feedback is reviewed and prioritized
- Balance and own multiple priorities and tasks supporting implementation, follow-up, and proactive outreach
- Participate in hiring decisions, including interviewing, selection, and onboarding of new team members.
- Develop and maintain policies, procedures, and best practices for implementation processes and customer onboarding workflows.
WHAT YOU NEED
- Minimum 3 years of experience in customer success, account management, or product operations in a B2B organization
- Exceptional project management and time management skills
- Excellent verbal and written communication skills
- Desire to learn the product inside out and understand why Ramp was built the way it was, and know how to communicate this effectively
- Proven track record of exceeding quota and/or outperforming key target metrics
- Ability to anticipate customers’ needs and position product solutions accordingly
- High adaptability and ability to thrive in a fast-paced environment
NICE TO HAVES
- Bachelor’s degree from an accredited university
- Experience with Accounting Software (e.g., Netsuite, QuickBooks, Xero, Sage) and/or Accounting (CPA)
- Experience with financial services sales
- Experience at a high-growth startup
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: USA (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. The recordings will be used for model training.
WHAT YOU’LL DELIVER
- Voice Samples
- Voice qualities of interest:
- Bright
- Sultry
- ASMR / soft intimate delivery
- Expressive delivery (not monotone), conversational style
- Voice persona: friendly, empathetic, attentive and helpful
- Voice profile:
- Flawless diction and articulation.
- Consistent quality
- Stable rhythm and tempo
- Controlled pitch and amplitude
- Correct diction and articulation
QUALIFICATIONS
- Must be native speaker of (bilingual): FRENCH CANADA + ENGLISH CANADA
- Experience with voice acting, narration, podcasting, or streaming
- Access to a professional or high-quality home recording setup
- Recording software
- Microphone
- Headset/speakers
- Audio Interface
- Professional Digital Audio Workstation, software, plugins
- Treated space, quiet environment, free from background noise, music, clicks, muffling, etc.
- Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.)
- Able to provide demo, sample recordings, voiceover samples
- Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged
- Open to licensing your voice for AI voice cloning / TTS training
- Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V.
Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc.
Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Canada (Remote); USA (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. The recordings will be used for model training.
WHAT YOU’LL DELIVER
- Voice Samples
- Voice qualities of interest:
- Bright
- Sultry
- ASMR / soft intimate delivery
- Expressive delivery (not monotone), conversational style
- Voice persona: friendly, empathetic, attentive and helpful
- Voice profile:
- Flawless diction and articulation.
- Consistent quality
- Stable rhythm and tempo
- Controlled pitch and amplitude
- Correct diction and articulation
QUALIFICATIONS
- Must be native speaker of (bilingual): FRENCH CANADA + ENGLISH CANADA
- Experience with voice acting, narration, podcasting, or streaming
- Access to a professional or high-quality home recording setup
- Recording software
- Microphone
- Headset/speakers
- Audio Interface
- Professional Digital Audio Workstation, software, plugins
- Treated space, quiet environment, free from background noise, music, clicks, muffling, etc.
- Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.)
- Able to provide demo, sample recordings, voiceover samples
- Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged
- Open to licensing your voice for AI voice cloning / TTS training
- Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V.
Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc.
Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Brooklyn, New York
📍
Location:
Brooklyn, NY
🕒
Schedule:
Monday–Friday, 3:00 PM – 4:30 PM
🏠
Setting:
1:1 in-home ABA therapy
About the role
LBAPS is seeking a Behavior Technician (BT/RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data.
What we are looking for
✅ High school diploma
✅ Experience working with children
✅ Patient, caring, and dependable
✅ Strong communication skills
What we offer
💰 Competitive pay
💙 Meaningful work helping children learn and grow
📩
Apply today to be considered.
Location: Registered Behavioral Technician- Baldwin NY
📍
Location:
Baldwin, NY
🕒
Schedule:
Monday–Thursday, 3:00 PM – 6:00 PM
🏠
Setting:
1:1 in-home ABA therapy
About the role
LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Baldwin. You will deliver ABA sessions under the direction of a supervising BCBA and record session data.
What we are looking for
✅ Registered Behavior Technician (RBT) certification
✅ High school diploma
✅ Experience working with children
✅ Caring, patient, and dependable
What we offer
💰 Pay: $25–$30/hour, depending on experience
💙 Supportive team environment
💙 Meaningful, rewarding work
📩
Apply today to be considered.
Location: Munich
As a key member of the EMEA Revenue Leadership Team reporting directly to the Head of DACH, you will be the strategic leader responsible for shaping, executing, and driving all Enterprise go-to-market (GTM) activities across Germany, Austria and Switzerland. You will lead a high-performing, successful regional sales team that is currently delivering strong results across our key industry verticals, including Manufacturing, Financial Services, Public Sector, Technology/Media/Telecom (TMT), Professional Services (PS), and Retail and CPG.
Partnering closely with leaders across Customer Success, Marketing, Sales Development and Channel, you will own the full-funnel GTM playbook across our Enterprise customer segments. In this role, you will leverage your deep enterprise expertise to cultivate, nurture, and develop this high-growth revenue organization while expanding Asana's market presence throughout the region.
This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements
What you’ll achieve
Build a strong community of customers, partners, and employees across the DACH region.
Develop and execute a comprehensive multi-year strategy for revenue growth and market penetration across our core industry verticals.
Partner with Customer Success to build a tailored customer coverage model that drives both revenue growth and retention across all segments.
Lead, inspire, and collaborate with sales and matrixed teams to establish and operationalize our playbook to fuel pipeline and customer growth.
Hire, nurture, and develop top sales talent, intentionally building clear career paths and succession plans.
Act as a senior executive representative for Asana with C-level customers, prospects, and media across the region.
Create strong feedback loops with the Product team to influence product evolution based on deep customer insights.
Evolve the Account Team Playbook to support enterprise growth, ensuring alignment across SDRs, Sales, Success, and Services.
About you
People Centric leader
Proven experience managing dedicated Enterprise sales teams and successfully hitting revenue targets within an enterprise tech space.
Deep background working within the Enterprise segment, showcasing a strong understanding of complex, high-value procurement and deployment cycles.
Demonstrated experience leading and scaling high-performing Enterprise Sales teams across DACH and EMEA regions.
Track record of navigating and capitalizing on a verticalized sales structure, with familiarity across segments such as Manufacturing, Financial Services, Public Sector, PS, or Retail/CPG.
Proven capability to scale Sales organizations and drive consistent bookings, ARR, and customer growth across commercial and enterprise segments.
Deep experience navigating and executing growth strategies within both product-led and sales-led business models.
Operationally strong with the ability to independently build robust GTM, operating, and talent development plans.
Intellectually curious, analytical, and naturally open-minded with a passion for solving complex regional challenges.
A highly collaborative partner comfortable navigating cross-functional, matrixed environments alongside Product and Marketing teams.
A low-ego leader who builds trust and influence through thoughtful communication and high-quality execution.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the On-Target Earnings (OTE) range is €255,000 - €300,000. The total OTE includes a base salary range of €140,250 - €165,000 and performance-based sales incentive pay (based on the terms of the Sales Incentive Plan). These ranges are a guideline; actual base salary and OTE may vary based on various factors, including market and individual qualifications objectively assessed during the interview process, and the ranges for this role may be modified.
In addition, your compensation package may include additional components such as equity and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Ridge, New York
📍
Location:
Ridge, NY
🕒
Schedule:
Monday, Tuesday, Thursday and Friday, 4:00 PM to 6:00 PM
About the role
LBAPS is seeking a Registered Behavior Technician (RBT) for a case in Ridge. You will deliver ABA sessions under the direction of a supervising BCBA and record session data.
What we are looking for
✅ Experience working with children required
✅ Patient, compassionate, and reliable
✅ Strong communication and teamwork skills
✅ ABA experience is a plus
What we offer
💰 $25–$30 per hour, based on experience
🕒 Weekday afternoon schedule
📩
Apply today to be considered.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship.
As a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal.
WHAT YOU'LL DO
- Own the quality bar for Harvey’s human evaluations: define what “good” looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD
- Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from
- Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth
- Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time
- Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on
- Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision
- Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands
- Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health
- Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys
- Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights
WHAT YOU HAVE
- 6+ years in product operations, research operations, evaluation/QA operations, or quality program management
- A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work
- Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time
- Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself
- Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders
- A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis
- Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards
- Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors
- Clear communicator who can build credibility and trust with stakeholders
- Bias to action and high ownership, from writing the guideline to auditing a vendor batch line by line
BONUS POINTS
- Experience in legal tech or working with domain experts in regulated industries
- Experience owning quality across multiple markets, languages, or jurisdictions
- Built calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelines
- Experience transitioning evaluation work in-house or otherwise improving evaluation ROI
- Familiarity with LLM-as-judge / automated evaluation used alongside human eval
- Early employee at a hyper-growth startup, or experience at a world-class product or platform operations org
COMPENSATION
$155,400 - $233,200 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-CD1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Americas Remote
Hi, I'm Paul, VP of Engineering at
Customer.io
. We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you.
About
Customer.io
Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence.
What we value
Ownership.
You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy.
Leaders who can do both.
You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both.
A drive to execute through resistance.
Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses.
An AI-first mindset.
AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates.
A healthy skepticism for "the way things are done."
You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn.
What you'll do
Care deeply about our customers and their outcomes
Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through
Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and
ship in small, observable increments rather than waiting for a release window
Make confident decisions when the path isn't obvious, and lead your team through them
Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake
Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices
Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance
Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Hire, onboard, and manage performance so the right people are in place to hit your squad's goals
Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter
Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day
What we're looking for
3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage
A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments
A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible
Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities
Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds
Experience building high-performing, inclusive, and collaborative teams
Clear, concise, and direct communication, both verbal and written
Compensation & Benefits
We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave
,
unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application
- We review everyone with care.
Recruiter Call (30 mins)
- Let's chat about what you're looking for, your leadership style, and how we work.
Hiring Manager Interview (60 mins)
- Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations.
People Partner Interview (30 mins)
- Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner.
Technical Interview (60 mins)
- Engage in a collaborative system design conversation focused on scaling challenges.
Take-Home Assignment
- Submit a short written retrospective on a project you’ve led as an Engineering Manager.
Retrospective Review Call (60 mins)
- We’ll use your written submission as the foundation for a deeper conversation.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Location: Latvia
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Türkiye
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Armenia
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Romania
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
This early-career Notino Experience Program Manager role is for a builder who thrives in ambiguity and turns it into momentum. You’ll wear many hats across the People team, but your core job is to jump in, chart the path, and drive high-impact projects based on business priorities—bringing clarity, aligning cross-functional partners, and executing quickly so the team can deliver meaningful employee experiences across EMEA and APAC.
You’ll succeed here if you’re deeply curious, eager to grow, and excited to hone your craft in People. This is a launchpad opportunity to learn from strong leaders, build expertise across the full spectrum of People work, and help shape moments that matter—bringing energy, optimism, and genuine care for people while helping build a workplace where everyone can do the best work of their careers.
As the regional anchor for how Notion’s global people & environment programs come to life outside the U.S., you’ll sit at the intersection of global vision and local execution. Based in Dublin and reporting to the Notino Experience & Environment Lead for APAC & EMEA, you’ll partner closely with the Global Experience Programs team in AMER and environment teams across Dublin, Sydney, Tokyo, Seoul, and Hyderabad—translating global programs into locally relevant, high-quality experiences and building the operational infrastructure to deliver them consistently at scale.
We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own regional program operations. Take end-to-end ownership of key people programs across EMEA and APAC — from onboarding and performance cycles to engagement surveys and talent retention initiatives. You'll research, plan, launch, and iterate.
- Bridge global and local. Act as the connective layer between the Global Experience Programs team and on-the-ground environment teams. You'll translate global frameworks into locally relevant experiences.
- Build the infrastructure. Create processes, playbooks, and agents that make local execution easier and more consistent across markets. Think onboarding workflows, program calendars, and repeatable delivery frameworks.
- Elevate Affinity Groups. Partner with Affinity Group leads across the region to strengthen their programmes, provide operational support, and help surface retention and engagement insights from within those communities.
- Use data to drive decisions. Build and maintain dashboards that track program health, adoption, and outcomes. Use what you learn to run experiments, course-correct quickly, and demonstrate ROI.
- Partner cross-functionally. Work closely with People Partners, NoE , Recruitment and business leaders to align people programs with organisational goals and ensure an inclusive, well-supported employee experience.
- Champion the Notion Experience. Help craft and bring to life a more distinct Notino Experience brand across EMEA and APAC — reimagining how we work, how we connect, and what it feels like to be a Notino in your region.
SKILLS YOU'LL NEED TO BRING:
- Programatic: experience running people programs end-to-end, across multiple markets & time zones.
- AI-native mindset: you’re “AI‑pilled” in the best way: you proactively use AI tools to speed up research, ops, and communication, and you’re excited to build AI agents/playbooks.
- Project management: strong skills and the ability to hold many moving pieces.
- Stakeholder trust: you build trust naturally across levels, from team members to executive partners.
- Bias toward action: you’re resourceful, scrappy when needed, and energised by a fast-moving environment.
- Change management: experience driving change at a high-growth company — you know how to bring people along, not just roll things out.
- Executive presence: you’re comfortable presenting to and partnering with senior leaders.
NICE TO HAVES:
- Familiarity with or enthusiasm for Notion
- Experience working across APAC and EMEA markets, with an understanding of cultural nuance in employee experience.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €45,000 - €70,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Tallinn, Estonia
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Role Summary:
As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.
Fulfill your potential with us:
- Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase.
- You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution.
- Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets.
- Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team.
- Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them.
- Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization.
- Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.
What we are interested in:
- 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React.
- Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS.
- You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability.
- Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices.
- Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright.
- Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications.
- A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.
Extra Credit:
- Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts).
- A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges.
- Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres)
- Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential
Blog Posts
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Global Teams
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
Our benefits include:
- Flexible time off so employees can shape their time away from work.
- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
- Wi-Fi Allowance.
- Monthly internet stipend and a one-time $500 home office stipend.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Role Summary:
As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.
Fulfill your potential with us:
- Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase.
- You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution.
- Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets.
- Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team.
- Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them.
- Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization.
- Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.
What we are interested in:
- 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React.
- Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS.
- You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability.
- Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices.
- Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright.
- Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications.
- A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.
Extra Credit:
- Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts).
- A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges.
- Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres)
- Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential
Blog Posts
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Global Teams
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
Our benefits include:
- Flexible time off so employees can shape their time away from work.
- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
- Monthly internet stipend and a one-time $500 home office stipend.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
United States- Fort Worth, Texas
ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
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.
УдалённоEngineering Manager - AI Product (100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
УдалённоEngineering Manager - AI Product(100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
УдалённоEngineering Manager - AI Product(100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
УдалённоEngineering Manager - AI Product (100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Dublin, Ireland; Programatic: experience running people programs end-to-end, across multiple markets & time zones
ГибридseniorTallinn, Estonia; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM
ГибридseniorLondon, UK; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM