Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing is seeking exceptional
Research Scientists
to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems.
This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication.
Our research is deliberately focused on
frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science
. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.
What You'll Do
Frontier benchmarks and evaluation
Identify high-impact gaps in existing benchmark and evaluation literature.
Design novel benchmarks in and across STEM fields and on general model functionality.
Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks.
Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies.
Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.
Synthetic data and post-training
Develop methods for generating high-quality synthetic STEM training data.
Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance.
Explore methods for generating useful training signal in domains where expert human data is scarce or expensive.
Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.
Hallucination, reliability, and verification
Study hallucination, uncertainty, calibration, and epistemic failure in technical domains.
Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention.
Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.
Agentic science
Research AI systems capable of performing extended scientific and technical work.
Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning.
Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research.
Explore new approaches to human-AI and multi-agent scientific collaboration.
New research directions
The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities.
What We’re Looking For
PhD or equivalent research experience in
machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
.
Demonstrated ability to formulate and execute original research.
Strong understanding of modern LLMs and the frontier AI research landscape.
Excellent experimental design, quantitative reasoning, and scientific judgment.
Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
Strong Python skills and the ability to independently build research prototypes and evaluation pipelines.
Excellent technical writing and communication.
Comfort working in a fast-moving environment where the research agenda evolves with the frontier.
A strong publication record is valuable, but we care most about whether you can
identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter
.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
seniorUnited States; For applicants from the European Union, please review
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing is seeking exceptional
AI Research Scientists
to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems.
This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication.
Our research is deliberately focused on
frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science
. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.
What You'll Do
Frontier benchmarks and evaluation
Identify high-impact gaps in existing benchmark and evaluation literature.
Design novel benchmarks in and across STEM fields and on general model functionality.
Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks.
Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies.
Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.
Synthetic data and post-training
Develop methods for generating high-quality synthetic STEM training data.
Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance.
Explore methods for generating useful training signal in domains where expert human data is scarce or expensive.
Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.
Hallucination, reliability, and verification
Study hallucination, uncertainty, calibration, and epistemic failure in technical domains.
Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention.
Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.
Agentic science
Research AI systems capable of performing extended scientific and technical work.
Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning.
Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research.
Explore new approaches to human-AI and multi-agent scientific collaboration.
New research directions
The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities.
What We’re Looking For
PhD or equivalent research experience in
machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
.
Demonstrated ability to formulate and execute original research.
Strong understanding of modern LLMs and the frontier AI research landscape.
Excellent experimental design, quantitative reasoning, and scientific judgment.
Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
Strong Python skills and the ability to independently build research prototypes and evaluation pipelines.
Excellent technical writing and communication.
Comfort working in a fast-moving environment where the research agenda evolves with the frontier.
A strong publication record is valuable, but we care most about whether you can
identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter
.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$150,000 to $300,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is hiring a Senior Analyst, Commercial Analytics to join the Commercial Analytics team and serve as a key analytics partner to our growing Wholesale business. In this role, you will translate data into actionable insights that inform channel strategy, maximize partner performance, and identify new opportunities for growth. You will own critical analysis and reporting across the channel and help build the analytical foundation needed to scale the business across regions and partner networks.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
RESPONSIBILITIES:
- Serve as a key analytics partner to the Wholesale team, analyzing performance across partners, products, doors, and geographies to identify opportunities that drive revenue and margin growth.
- Own analysis of sell-in and sell-through performance, pricing, promotions, and partner economics to assess channel performance, inventory position, consumer demand, and future growth opportunities.
- Build scalable reporting and analytical tools that give Wholesale and regional sales leadership visibility into channel performance, partnering with Analytics Engineering to ensure data is accurate, consistent, and trusted.
- Support commercial planning and forecasting by developing wholesale inputs and channel-level drivers, and conduct market sizing and opportunity analyses to inform partner selection and regional expansion.
- Uncover consumer and channel insights across retail partners and collaborate with Marketing and other cross-functional teams to strengthen go-to-market strategy and understand the impact of investments supporting wholesale growth.
QUALIFICATIONS:
- Bachelor's or advanced degree in Business Analytics, Computer Science, Statistics, Economics, or a related field.
- 4+ years of experience in analytics, business intelligence, or a related discipline, ideally within a retail, wholesale, sales, B2B, or consumer products environment.
- Strong SQL skills and experience working with large-scale transactional data, with the ability to independently move from a business question to analysis, insight, and recommendation.
- Demonstrated experience building reporting and analytical tools that enable stakeholders to understand performance and make informed business decisions.
- Strong business acumen and experience partnering with commercial or sales stakeholders, with the ability to synthesize complex data into clear recommendations and actions.
- Experience with wholesale or retail analytics, including sell-in and sell-through performance, pricing, promotions, trade spend, or retailer-provided data.
- Experience with business intelligence tools such as Sigma and familiarity with retailer data sources, including POS platforms such as SPS Commerce, is a plus.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $120,000 - $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston Office
Workplace: Hybrid
OUR STORY
Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month.
As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team.
ROLE OVERVIEW
Technical Project Managers (TPMs) are the engine that drives our clients’ success. They are adept communicators with strong technical knowledge and a knack for problem-solving.
At Pointr, we empower TPMs to partner with clients and internal teams to deliver premier indoor technology solutions. To that end, they are comfortable operating in a flat, fast-paced organization and are energized by leveraging cutting-edge technology to create the future of indoor experiences.
At its core, this role requires the TPM to combine tactical execution skills with strategic expertise to lead cross-functional teams through multiple, often concurrent project lifecycles.
As the Sr. TPM for Healthcare, this person operates as a player-coach: they own delivery for their own healthcare projects and programs end-to-end, including large, multi-site, multi-customer programs, while also serving as the strategic lead for the vertical.
As the strategic lead, this person sets priorities across the portfolio of healthcare vertical projects based on project needs and client value, standardizes delivery processes for the vertical, and works closely with the account owners and delivery team leads to track resource availability and effectiveness. Other TPMs rotate onto healthcare projects as volume requires, and are coordinated by the Sr. TPM.
Oversee program focused on delivery of all projects for our aggressively growing health care vertical; managing and reviewing project needs, client value, and determining priority across all projects for the health care vertical. Standardize and
work closely with the account owner, and the delivery team leads to track resource availability and effectiveness.
Track and report on resource utilization and limitations, escalating for resolution.
CORE RESPONSIBILITIES
- Own requirements gathering, project planning, implementation, and deployment support for our global clients and partners, ensuring timely, efficient delivery and high levels of customer satisfaction.
- Work with client and delivery team members to rapidly and accurately deliver Pointr products and services.
- Review and identify Delivery Organization process improvements focusing on shortening the effort and duration of delivery activities.
- Work with clients to identify and resolve mapping and wayfinding issues. Coordinate and solve these issues working closely with technical teams.
- Develop broad understanding of Pointr products, enabling an increasing ability to provide direct support and problem resolution to map, wayfinding, and integration solutions.
- Proactively partner with commercial and technical stakeholders, regularly educating them on Pointr’s solutions and deployment process while serving as a key partner to their success
- Closely collaborate with developers, designers, and deployment managers to integrate Pointr’s suite of technology with client applications
- Investigate and diagnose hardware and software challenges alongside Pointr’s delivery teams to ensure solution quality and sustainability
- Facilitate client status meetings to manage the scope and schedule of multiple, often concurrent deployments
- Learn! Master Pointr’s product suite to better understand how clients can use our technology and in turn supplement our product roadmap
- Engage in proactive and timely communication that consistently impresses our clients.
- Set priority across all healthcare vertical projects based on project needs, client value, and delivery capacity.
- Coordinate and support other TPMs rotating onto healthcare projects as volume requires.
- Standardize delivery processes across the healthcare vertical, in partnership with the account owner and delivery team leads.
- Track and report on resource utilization and limitations across the portfolio, escalating for resolution.
- Partner with hospital IT, network, and facilities teams; support EHR integration work (Epic in particular), RTLS, and patient experience initiatives.
- Build and maintain relationships with client-side executives across the healthcare portfolio.
MINIMUM QUALIFICATIONS
- 10+ years of IT project management or technical consultancy experience in a hardware or software company
- 5+ years leading programs supporting multiple client implementations simultaneously, successfully, at speed.
- 3+ years of experience working in the health care industry with hands-on exposure to health IT, EHR integration (Epic in particular), RTLS, hospital facilities operations, patient experience initiatives, or hospital network teams.
- Demonstrated ability to move in a fast-paced environment, learning on the job while juggling multiple deliveries.
- Experience leading the delivery and support phases of the customer lifecycle.
- A self-starter by nature with applied knowledge of agile software development processes and a strong interest in learning about indoor location technology
- Like us, you're a high-performer with an exceptional record of getting things done in a fast-paced, analytical environment
- Strong interpersonal skills, with the ability to solve problems and foster relationships with technical and commercial stakeholders
- Process-oriented with an eye for detail and improvements
- Experience managing or mentoring other project or program managers in a matrixed or player-coach capacity.
- Experience delivering large-scale, multi-site, or multi-customer programs.
PREFERRED QUALIFICATIONS
- BS or MS degree in a relevant technology or management field (Computer Science is a plus)
- Experience with project management tools (Jira, Smartsheet, Google Suite, MS Office, MS Project)
- Project Management Professional® (PMP) / Certified ScrumMaster® (CSM) certifications preferred
WHAT WE OFFER?
- Supportive, kind (no-ego), and smart team
- Hybrid work (2 days being in the office is required)
- International environment and inclusive culture
- Competitive base salary and attractive stock options
- Cool and comfortable office in Boston (Back Bay) or access to WeWork in other locations
- Private health care (75%) and Dental
- Company-sponsored parental leave
- 18 days PTO, plus sick time + 12 holidays per year
- 401(k) retirement scheme
COMPENSATION
Base salary range: $150,000 - $165,000 + bonus, based on experience and market. Total compensation also includes stock options and benefits: medical/dental, 401(k), 18 days PTO + sick time + 12 holidays, and paid parental leave.
#LI-HYBRID
Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.
WE SUCCEED TOGETHER
Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback.
We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together.
We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.
We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech.
A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS
While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.
On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process.
Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.
Location: Hyderabad, Telangana, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Hyderabad, India
Experience Level:
8+ years
Work Model:
Hybrid, 3 days per week in office
Employment Type:
Full Time
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and hybrid:
This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
Strong retrieval depth:
Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Bengaluru, Karnataka, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Bengaluru, India
Experience Level:
8+ years
Work Model:
Hybrid, 3 days per week in office
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and hybrid:
This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
Strong retrieval depth:
Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Sacramento, United States; Knoxville, United States; Honolulu, United States; Boise, United States; Naples, United States; Irvine, United States
CXG is a global Customer Experience consulting firm specializing exclusively in serving premium and luxury brands.
We partner with premium and luxury brands to transform experiences for meaningful impact. We provide valuable insights and support them in taking actionable steps toward creating seamless customer experiences that deliver more value.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at
live.cxg.com
and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older (21 years or older in the United States).
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Задачи:
— Сбор и подготовка данных: формирование и актуализация отчетности HR (розничный персонал) - численность, текучесть, укомплектованность, возрастные и профессиональные характеристики и т.д.
— Ad‑hoc запросы: оперативное выполнение запросов смежных функций по любой HR‑показателям.
— Анализ влияния HR‑факторов на продажи: построение корреляционных и регрессионных моделей, оценка вклада текучести, уровня штатного расписания, графика работы и прочих переменных в KPI сети (выручка, средний чек, конверсия).
— Отчётность и визуализация: подготовка периодических (ежемесячных, квартальных) и специальных аналитических дашбордов в Power BI/Superset/ материалов в ppt, автоматизация отчётов для руководителей разных уровней.
— Прогнозирование и планирование: построение сценариев оптимального укомплектования магазинов, расчёт потребности в персонале с учётом сезонных колебаний, открытий/закрытий точек.
— Участие в проектах, расчеты затрат и бизнес-эффектов по программам (например: удержания, обучения и проч изменений).
— Контроль качества данных: проверка и валидация исходных HR‑данных, участие в улучшении процессов их сбора и интеграции, взаимодействие с ИТ и бизнесом.
— Подготовка рекомендаций: формулирование практических рекомендаций на основе аналитических выводов.
Требования:
— Образование высшее в области экономики, социологии, управления персоналом, статистики или ИТ.
— Опыт работы 2–4 года в HR‑аналитике, корпоративных исследованиях, бизнес‑аналитике (retail будет плюсом).
— Навыки работы с данными SQL (создание и оптимизация запросов).
— Уверенный пользователь Excel (Pivot‑tables, Power Query, массивные формулы).
— Опыт построения моделей в Python желателен.
— Визуализация Power BI, SuperSet.
— Знание HR‑процессов: текучесть, учёт рабочего времени, планирование штата, классификация должностей.
— Коммуникация: умение простым языком объяснить сложные аналитические выводы.
— Личностные качества: структурированность, внимание к деталям, проактивность, способность работать в динамичной среде с меняющимися приоритетами.
Условия:
— Официальное трудоустройство с удобным форматом работы: пятидневная рабочая неделя с понедельника по пятницу, с возможностью согласовать удобное время начала и окончания рабочего дня с руководителем.
— Гибридный формат работы.
— Два дня в неделю можно работать удаленно: дома, в коворкинге, кафе или там, где хочется (спустя 3 месяца испытательного срока).
— ДМС, включая стоматологию (спустя 3 месяца испытательного срока).
— Возможность купить полис ДМС по корпоративной скидке для родственников.
— Страхование от несчастных случаев с 1 месяца работы.
— Материальная помощь в сложных жизненных ситуациях.
— Консультация психологов и программа поддержки сотрудников.
— Отпуск 28 календарных дней.
— Специальные предложения от партнеров и скидки от продуктов экосистемы МТС.
— Мобильная связь за счет компании и льготные тарифы для близких.
— Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.
— Собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучение для карьерного развития.
Задачи:
— Формировать продуктовую стратегию: анализировать рынок профессионального оборудования для ритейла, понимать потребности крупных клиентов и изменения спроса, определять перспективные продуктовые категории, формировать стратегию развития продуктового направления, анализировать конкурентов, производителей и новые технологические решения, определять приоритеты развития продуктового портфеля.
— Управлять продуктовой линейкой: формировать и развивать ассортиментную матрицу, определять необходимые модели, конфигурации и ценовые сегменты, принимать решения о вводе новых продуктов, управлять жизненным циклом оборудования, контролировать актуальность модельного ряда, своевременно выводить устаревшие и неэффективные позиции, находить замену оборудованию, которое снимается с производства или перестаёт соответствовать требованиям рынка.
— Работать с клиентами и рынком: общаться с крупными B2B-клиентами, выявлять реальные потребности и требования ритейла к оборудованию, участвовать во встречах с ключевыми заказчиками, анализировать обратную связь от клиентов, отдела продаж и сервиса, переводить потребности рынка в требования к новым моделям и продуктовым линейкам, участвовать в подборе оборудования под крупные клиентские проекты.
— Работать с оборудованием: разбираться в характеристиках профессионального оборудования, сравнивать модели разных производителей, формировать требования к характеристикам, комплектациям и конфигурациям, участвовать в тестировании новых моделей, оценивать надёжность, качество и удобство эксплуатации оборудования, совместно с техническими специалистами принимать решения о вводе новых продуктов в ассортимент.
— Работать с производителями и поставщиками: взаимодействовать с российскими и зарубежными вендорами, анализировать предложения производителей и дистрибьюторов, участвовать в выборе оборудования и продуктовых платформ, сравнивать характеристики, стоимость, качество и коммерческий потенциал моделей, участвовать в переговорах с поставщиками, инициировать разработку или изменение конфигураций оборудования под потребности рынка.
— Управлять экономикой продукта: отвечать за коммерческие показатели продуктового направления, анализировать закупочную стоимость, себестоимость и маржинальность, участвовать в формировании ценовой политики, прогнозировать продажи и прибыльность продуктовой линейки, анализировать продажи по категориям, моделям и SKU, контролировать эффективность ассортиментной матрицы, выявлять низкомаржинальные и слабо востребованные позиции, искать точки роста выручки и валовой прибыли.
— Контролировать качество: анализировать статистику отказов и гарантийных обращений, работать совместно с сервисным подразделением, выявлять системные проблемы оборудования, учитывать ремонтопригодность, надёжность и стоимость владения при выборе новых моделей, принимать решения о доработке, замене или выводе проблемного оборудования.
— Выводить новые продукты на рынок: организовывать запуск новых моделей и продуктовых категорий, формировать позиционирование продукта, совместно с маркетингом готовить продуктовые материалы, обучать отдел продаж особенностям и преимуществам оборудования, помогать продажам подбирать решения под задачи клиентов, участвовать в презентациях и крупных коммерческих проектах.
Требования:
— Опыт работы Product Manager / Product Owner от 3 лет;
— Опыт работы с физическим B2B-продуктом;
— Опыт управления продуктовой линейкой или ассортиментом оборудования;
— Умение разбираться в технических характеристиках и сравнивать оборудование;
— Понимание жизненного цикла физического продукта;
— Опыт анализа рынка и конкурентной среды;
— Опыт формирования ассортиментной матрицы;
— Понимание ценообразования, себестоимости и маржинальности;
— Умение работать с большим количеством SKU;
— Опыт взаимодействия с производителями, поставщиками или дистрибьюторами;
— Сильные аналитические навыки;
— Самостоятельность в принятии решений и ответственность за коммерческий результат.
Будет преимуществом:
— Опыт работы в Retail Tech;
— Опыт работы с POS-оборудованием;
— Знание рынка кассовой техники и периферии;
— Опыт работы с системными блоками, POS-мониторами, сканерами, принтерами, ТСД и фискальными регистраторами;
— Опыт работы с OEM/ODM-производителями;
— Опыт запуска новых аппаратных продуктов;
— Понимание специфики федерального ритейла.
Условия:
— Финансовая стабильность: оформление по ТК РФ с первого рабочего дня, зарплата на уровне рынка, выплаты точно в срок;
— Офис с доступом за 10 минут от метро Варшавская/Каширская и гибкий график;
— Работа на час меньше в пятницу;
— Технологичное рабочее место: 2 монитора, все нужные девайсы и софт;
— Столовая с зерновым кофе и автоматами для перекусов;
— Мобильная связь за счет компании, 4 дня в году day-off по болезни;
— Минимум формальностей, оперативность в работе.
Задачи:
— Вести полный цикл точечного подбора персонала;
— Осуществлять поиск и привлечение кандидатов различного уровня сложности;
— Проводить первичную оценку профессиональных компетенций и личностных качеств кандидатов;
— Проводить телефонные, онлайн- и видеоинтервью;
— Организовывать и участвовать в совместных интервью с нанимающими руководителями;
— Сопровождать кандидатов на всех этапах подбора и оформления до выхода на работу;
— Выстраивать долгосрочные отношения с кандидатами и поддерживать высокий уровень сервиса.
Требования:
— Высшее образование;
— Обязательный опыт работы в кадровом агентстве от 2-х лет;
— Умение эффективно работать с несколькими вакансиями одновременно;
— Активная жизненная позиция, ответственность и инициативность;
— Стремление к профессиональному развитию и высоким результатам;
— Грамотная устная и письменная речь.
Условия:
— Оформление по ГПХ или самозанятости;
— Возможность перевода в штат компании при успешном прохождении испытательного срока;
— Оплата: высокий процент за каждую успешно закрытую вакансию;
— Удаленный формат работы;
— График и время работы обсуждается индивидуально;
— Работа в стабильной компании с более чем 10-летней историей;
— Возможность профессионального развития, обмена опытом и участия в интересных проектах.
Задачи:
— Взаимодействие с бизнес-заказчиками (управления персоналом, финансов, бухгалтерии, казначейства, юридического блока и управления недвижимостью)
— Участие в проработке новых IT-инициатив и поиске оптимальных решений для потребностей бизнеса
— Анализ пользовательских запросов и подготовка описаний требований
— Участие в подготовке технических заданий
— Помощь в планировании и приоритизации задач
— Контроль статусов выполнения принятых в работу инициатив
— Взаимодействие с IT-командой и подрядчиками:
• Коммуникация с аналитиками, разработчиками и тестировщиками на этапах реализации задач
• Участие в обсуждении вариантов реализации бизнес-требований
• Постановка задач и контроль их выполнения
• Участие в проверке полноты реализации требований, тестировании решений и сопровождении внедрения
• Контроль устранения ошибок после выхода изменений в продуктивную среду
— Координация IT-задач и сопровождение систем:
• Участие в оперативном решении инцидентов, влияющих на работу пользователей и бизнес-приложений
• Координация действий внутренних специалистов и подрядчиков при возникновении критических ситуаций
• Участие в процессах закрытия финансового периода в системах 1С
• Сопровождение плановых и внеплановых обновлений корпоративных систем 1С
Требования:
— Знания 1С УПП, 1С УХ, 1С ЗУП, 1С ДО
— Знания кадрового учета, бухгалтерского и управленческого учета
— Умение находить общий язык с разными участниками процесса: бизнес-пользователями, руководителями подразделений, разработчиками и подрядчиками
— Способность анализировать потребности бизнеса и переводить их в понятные задачи для IT-команды
— Внимательность к деталям и структурированный подход к работе
— Навыки взаимодействия в условиях нескольких параллельных задач
Условия:
— Офис - ст. м. Шелепиха (гибридный формат работы)
— Оформление в соответствии с ТК РФ
— Расширенный соц.пакет (ДМС+стоматология)
— Перспективы профессионального и карьерного роста
— Работа в молодой, дружной и амбициозной команде
— Скидки на продукцию во всех магазинах группы компаний Inventive Retail Group (restore:, Samsung, Street Beat, Мир Кубиков, Hiker, Amazing Red, Unode50), скидки в компаниях-партнерах (фитнес, кредитование, путешествия, развлечения), конкурсы с ценными призами
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
The Role
Fanatics is building a connected ecosystem where fans can move across Betting & Gaming, Collectibles, Live, FanApp and more, powered by a single identity, a shared loyalty system, and common product experiences.
We are looking for a senior product leader to build the social and community layer of that ecosystem. This is a growth job. One fan meets us across our products and is alone in all of them. We pay to acquire them four times and we work to keep them four times. The room to grow inside what we already own is bigger than anything more media spend or an additional vertical would get us.
Social is how we connect it. Fandom is a group activity and our products treat it as a solo one. Profiles, friends, groups, sharing, competition and status are the mechanics that bring acquisition cost down, carry a fan from one product into the next, and give people a reason to come back that isn't another push notification.
The other half of it is knowing who the fan is. We know who someone roots for, what they collect, what they've sat through as a fan. That turns a cross-sell into recognition, and it lets us answer a moment in one product with something real from another. It's a network of fans who are known and connected to each other organically.
You will own social end to end: the thesis, the roadmap, the mechanics, the growth numbers and the gamification layer that sits on top.
Why This Role Matters
Today our products are social in name only. Fans arrive alone, play alone, and leave without having met anyone. Every vertical acquires and retains its own users, discovery runs on merchandising slots rather than on what a fan's friends are doing, and identity mostly resets at every front door a user enters here. The result is separate funnels where there should be one network.
As the product leader for Growth, Social & Community, you will:
Define where ecosystem growth comes from and which social mechanics unlock it
Build identity and public profile as a real product
Create acquisition loops that come out of the product itself
Turn shared experience into a retention mechanic the whole ecosystem benefits from
Make the value of a social lever measurable enough to fund
Your work will directly affect blended acquisition cost, cross-product penetration and retention, Fanatics ONE membership and engagement, and the rate at which fans move from their first product into their second and third.
What You'll Do
Own the growth thesis and the roadmap
Write the point of view: where the growth comes from, which social mechanics get us there, what each one is worth, and the order to build them in.
Keep a live read on where consumer social is going and what it means for us.
Build acquisition that doesn't come out of the media budget
Invite, referral and friend discovery built into the product rather than sitting next to it.
Sharing that fans actually want to do, which means moments worth sending rather than a share button bolted on
Social surfaces that put Fanatics in front of people who aren't customers yet
Connect the ecosystem through identity and the social graph
Identity and a public social profile built as a real product: who someone is across verticals, who they root for, what they collect, what they're good at, carried with them instead of reset at every front door.
Reputation and a record worth showing off to all fans
One social graph that every vertical uses instead of each building its own.
Discovery driven by what a fan's friends are doing
A privacy model where being public is a choice and a safe one.
Design for moments rather than campaigns
Fandom runs on highs and lows, and the ecosystem gives us both the signal to see them and the means to respond.
Work from context and not just behavior, understand what happened to a fan and how the fan feels about it.
Bring generosity, perfect timing, and a bias toward being on the fan's side
Build community that keeps people around
Shared experience, including the plain fact of knowing that thousands of other fans are sitting in the same moment you are, sweating it together.
Own the gamification layer
Progression that means something
Group and squad competition, what makes a fan recruit their friends.
A clear position on where rewards genuinely change behavior and how to introduce
Prove it with data
Define what a social lever is worth
Density against retention, invite and share loops against acquisition cost, cross-product LTV, and what a second and third product per fan is actually worth.
The Bar
We are not trying to catch up. We intend to be where this happens for sports fans, and we have the fan base and the ecosystem to make that the clear outcome. You are expected to know what is shipping in that space before it ships, and to tell us what it means for us.
You will be working with a small, strong, AI-forward team that moves quickly. Keeping pace with them is part of the job. In practice that means you prototype, you get something in front of fans this week, and you don't wait on a sprint cycle to think and make decisions.
How We Measure Success
Reduction in blended acquisition cost attributable to in-product social loops
Share of fans connected to at least one other fan, and density on the surfaces that matter
Rate at which fans move from a first product into a second and third
Retention and engagement lift among connected fans versus unconnected ones
Fanatics ONE membership growth and login adoption across products
Adoption of shared social and identity components by partner teams
What You Bring
Eight or more years in product, with real time on growth and real time on social, community or network products at consumer scale
Social products rather than social features. Things where the value came from other users, and you know how graphs get built
You've carried a growth number and can defend a roadmap to it
Both ends of the funnel. Acquisition and retention
The ability to write the narrative that gets a company aligned, and to sit with two engineers and a designer and get something in front of users this week
You build fast. Prototypes over specs, days over quarters, and you cut things quickly when they don't work
You use consumer social products and have opinions about them. You also understand how fans behave, the loyalty and the superstition and the heartbreak
You decide at 80%, write down why, and change your mind when the data says to
You can write the query, design the test, debate incrementality with a data scientist, and tell a real lift from a seasonal one
You've dealt with the ugly side of user-generated content before - moderation, abuse, bad actors
Things That Make Us Lean Forward
A social product you shipped that outlived the team that built it
A graph you grew from nothing, and a clear story about how you solved cold start
Users you moved between products or business units at scale
Something you built that made people feel recognized
Something you killed because the data said to
Three social products you admire, why each loop works, and where each one breaks
Work across P&Ls where you owned the outcome but not the roadmap
Something public. A product, a repo, writing, a community you started and grew
Experience shipping social or UGC inside a regulated or high-scrutiny environment
Why You'll Love This Role
You'll build the social layer for one of the largest fan bases in sports
The vision is yours to write, and it comes with real investment behind it
Your work shows up across every Fanatics product rather than inside one of them
You'll work with strong partners across Product, Design, Engineering and Data
There is a shipping v1 to learn from and an open 2027 to define
#LI-LS2
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$200,000
—
$230,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a Consumer Communications & New Media Manager at OnePay, you will own how the internet talks about us — building relationships with traditional consumer media, the podcasters, Substackers, live show hosts, and new media creators who actually move consumer opinion today. You'll be the connective tissue between OnePay and the voices shaping how people discover and trust us — landing us on the right pages, shows, channels and newsletters, shaping the story, and making sure those conversations land with consumers. This is a hands-on, individual-contributor role for someone who wants to own a program end to end, not just execute a calendar. You will:
- Build and maintain relationships with reporters, producers, podcasters, Substackers, live show hosts, and new media creators across finance, tech, culture and lifestyle
- Pitch OnePay stories and secure placements — reviews, guest appearances, interviews, newsletter features, live show segments
- Manage inbound requests from media outlets and prioritize the right opportunities
- Develop and manage ongoing new media partnerships that extend OnePay's reach with consumers
- Write and edit pitches, briefing docs, talking points, and Q&A prep tailored to new media formats
- Monitor media coverage and sentiment, flagging risks and opportunities to leadership
- Partner with legal and compliance on messaging in a regulated, fintech-sensitive environment
- Represent OnePay directly in interviews and appearances as needed
YOU BRING
- 5+ years in communications, PR, or new media/creator relations, in-house or agency
- Active, demonstrated relationships with reporters, podcasters, substackers, live show hosts, and other new media creators
- Excellent writing and pitching skills — you can turn a feature into a story a host or creator wants to run
- Comfort navigating fast-moving, informal media formats (live shows, podcast) alongside traditional press norms
- Drive and proactivity — everyone here is a builder and executor
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Требуется email-маркетолог с опытом работы в сфере розничной CRM для бренда одежды. Основные задачи включают интеграцию и настройку триггерных рассылок через retail CRM, а также оформление писем — дизайн будет обеспечен при необходимости с помощью подключенного дизайнера. Кандидат должен иметь опыт в данной нише и четко понимать процесс работы с триггерными рассылками. При отклике желательно предоставить кейсы или примеры выполненных проектов.
Location: Dubai, United Arab Emirates
Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now!
Tickmill is looking to hire a Head of Product, Exchange-Traded Products
to join our rapidly expanding team.
About Tickmill
Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and Bonds, as well as Exchange Traded Derivatives (Futures & Options).
The Tickmill Group was established in 2014 and employs over 290 individuals through its offices in London, Cyprus, Estonia, South Africa, and several other regional offices globally.
Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from every continent, are the backbone of the company. Their hard work and dedication are what make it possible to rank among the best in the industry. Tickmill offers a competitive benefits package, team-building events, and many opportunities for professional growth.
Join the Tigers!
What the job looks like?
The
Head of Product, Exchange-Traded Products
will have the opportunity to:
Own and drive the expansion of Tickmill's Stocks & Exchange-Traded Products offering.
Define the product strategy, roadmap, and business objectives for Stocks, ETFs, and related investment products.
Lead the trading and investing experience across web and mobile platforms, including market data, order management, portfolio views, reporting, and corporate actions.
Partner closely with Engineering, UX/UI, QA, Compliance, Brokerage, Operations, Sales, Marketing, Affiliates, and other key stakeholders to deliver products from concept to market.
Define and prioritize product features based on customer needs, regulatory requirements, technical feasibility, and business objectives.
Work closely with exchanges, market data providers, clearing brokers, custodians, and technology vendors to enhance and scale the product offering.
Help define scalable operating models that balance global consistency with local market requirements.
Support acquisition, activation, retention, and engagement initiatives in collaboration with Sales, Marketing, Affiliates, and Partnerships teams.
Establish KPIs and continuously optimize client adoption, trading activity, customer engagement, and commercial performance.
Champion a simple, intuitive, and mobile-first investing experience for retail clients.
What will you need to be able to do the job?
7+ years of Product Management experience.
3+ years of experience building or managing Stocks, ETFs, Equities, or other Exchange-Traded Products within a brokerage, investment platform, exchange, fintech, or wealth management environment.
Strong understanding of equities market structure, order management, trade execution, settlement, custody, market data, corporate actions, and retail brokerage operations.
Proven track record of successfully launching, scaling, and optimizing trading or investment products.
Demonstrated experience designing and optimizing customer journeys, onboarding experiences, and product UX using customer insights, analytics, and experimentation.
Strong stakeholder management skills with the ability to lead complex cross-functional initiatives.
Strong technical understanding and the ability to collaborate effectively with engineering and technology teams.
Excellent analytical, strategic thinking, communication, and problem-solving skills.
Proficient in English with excellent written and verbal communication skills.
It will be considered as a plus if you have:
Experience designing, supporting, or optimizing affiliate, referral, Introducing Broker (IB), and partner acquisition journeys.
Experience working with providers such as Interactive Brokers, Saxo, DriveWealth, Apex, Alpaca, or similar brokerage infrastructure platforms.
Experience in scaling global investment products across multiple regulatory jurisdictions.
Experience working within a mobile-first investing or digital wealth management environment.
Knowledge of international equities markets and multi-asset investing products.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience.
Opportunities to learn and grow through our "Employee Training & Development Program".
Health Insurance.
Multiple events to bond with the team and the group.
Birthday and Loyalty benefits.
What to expect from our recruitment process:
First interview with HR.
Product and stakeholder management interview.
Final interview with top management.
Make your next career step and apply NOW!
Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: London, Greater London, United Kingdom
Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now!
Tickmill is looking to hire a Head of Product, Exchange-Traded Products
to join our rapidly expanding team.
About Tickmill
Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and Bonds, as well as Exchange Traded Derivatives (Futures & Options).
The Tickmill Group was established in 2014 and employs over 290 individuals through its offices in London, Cyprus, Estonia, South Africa, and several other regional offices globally.
Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from every continent, are the backbone of the company. Their hard work and dedication are what make it possible to rank among the best in the industry. Tickmill offers a competitive benefits package, team-building events, and many opportunities for professional growth.
Join the Tigers!
What the job looks like?
The
Head of Product, Exchange-Traded Products
will have the opportunity to:
Own and drive the expansion of Tickmill's Stocks & Exchange-Traded Products offering.
Define the product strategy, roadmap, and business objectives for Stocks, ETFs, and related investment products.
Lead the trading and investing experience across web and mobile platforms, including market data, order management, portfolio views, reporting, and corporate actions.
Partner closely with Engineering, UX/UI, QA, Compliance, Brokerage, Operations, Sales, Marketing, Affiliates, and other key stakeholders to deliver products from concept to market.
Define and prioritize product features based on customer needs, regulatory requirements, technical feasibility, and business objectives.
Work closely with exchanges, market data providers, clearing brokers, custodians, and technology vendors to enhance and scale the product offering.
Help define scalable operating models that balance global consistency with local market requirements.
Support acquisition, activation, retention, and engagement initiatives in collaboration with Sales, Marketing, Affiliates, and Partnerships teams.
Establish KPIs and continuously optimize client adoption, trading activity, customer engagement, and commercial performance.
Champion a simple, intuitive, and mobile-first investing experience for retail clients.
What will you need to be able to do the job?
7+ years of Product Management experience.
3+ years of experience building or managing Stocks, ETFs, Equities, or other Exchange-Traded Products within a brokerage, investment platform, exchange, fintech, or wealth management environment.
Strong understanding of equities market structure, order management, trade execution, settlement, custody, market data, corporate actions, and retail brokerage operations.
Proven track record of successfully launching, scaling, and optimizing trading or investment products.
Demonstrated experience designing and optimizing customer journeys, onboarding experiences, and product UX using customer insights, analytics, and experimentation.
Strong stakeholder management skills with the ability to lead complex cross-functional initiatives.
Strong technical understanding and the ability to collaborate effectively with engineering and technology teams.
Excellent analytical, strategic thinking, communication, and problem-solving skills.
Proficient in English with excellent written and verbal communication skills.
It will be considered as a plus if you have:
Experience designing, supporting, or optimizing affiliate, referral, Introducing Broker (IB), and partner acquisition journeys.
Experience working with providers such as Interactive Brokers, Saxo, DriveWealth, Apex, Alpaca, or similar brokerage infrastructure platforms.
Experience in scaling global investment products across multiple regulatory jurisdictions.
Experience working within a mobile-first investing or digital wealth management environment.
Knowledge of international equities markets and multi-asset investing products.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience.
Opportunities to learn and grow through our "Employee Training & Development Program".
Health Insurance.
Multiple events to bond with the team and the group.
Birthday and Loyalty benefits.
What to expect from our recruitment process:
First interview with HR.
Product and stakeholder management interview.
Final interview with top management.
Make your next career step and apply NOW!
Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.
United States; For applicants from the European Union, please review
seniorUnited States; For applicants from the European Union, please review
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.
Hyderabad, Telangana, India; Relocation assistance is not available; For applicants from the European Union, please review
Bengaluru, Karnataka, India; Relocation assistance is not available; For applicants from the European Union, please review
Sacramento, United States; Knoxville, United States; Honolulu, United States; Boise, United States; Naples, United States; Irvine, United States
ГибридГеография найма не уточнена
География найма не уточнена
New York, NY, United States
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
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