Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Revenue Team:
The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.
About the Role:
Affirm is looking for an experienced Director of Sales to lead four Account Executives focused on signing platform partnerships, including ISVs and SaaS providers, that expand Affirm’s reach with SMB merchants. Reporting to the Senior Director, ISV Partnerships, you will shape our high-velocity sales motion, build executive relationships, lead complex commercial opportunities, and translate strategy into measurable business results.
What You’ll Do:
Lead, coach, and develop four Account Executives, creating clear accountability for performance while strengthening individual execution and team culture.
Define and evolve Affirm’s ISV go-to-market strategy, including where we focus, how we cover the market, and how we win and scale ISV partnerships.
Own outcomes from opportunity creation through signature, integration, launch, and early merchant activation. Hold cross-functional partners accountable to shared milestones and resolve escalations.
Lead strategic platform opportunities and complex negotiations, building executive relationships, setting the narrative, surfacing risks early, and helping the team navigate multi-stakeholder deals.
Bring rigor to prospecting, pipeline management, forecasting, and deal strategy to improve execution and accelerate growth.
Represent the platform ecosystem internally, bringing partner insights, merchant needs, and competitive trends into commercial strategy, product development, and roadmap decisions.
Own talent planning, hiring, and team calibration to build and sustain a high-performing sales organization.
What We Look For:
10+ years of sales experience, including at least 5 years leading high-performing sales teams.
A proven record of consistently exceeding revenue goals in high-growth environments.
Deep expertise hunting and closing new business across complex, multi-stakeholder organizations.
Channel sales experience.
Experience selling to ISVs, software providers, vertical SaaS companies, or similar platform businesses.
Experience in fintech or payments. Experience in embedded finance and/or BNPL is a plus.
A strong understanding of the SMB market and platform-based ecosystems.
Demonstrated strength in coaching, team building, and performance management.
A strategic, hands-on approach, with the ability to lead complex deals while building scalable sales processes.
Excellent communication, negotiation, and relationship-building skills.
Pay Grade - M
Equity Grade - 12
Employees new to Affirm
typically come in at the start of the pay range
. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. For sales roles, the range provided is the role’s
On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA
On Target Earnings
(CA, WA, NY, NJ, CT) per year: $370,000 - $490,000
USA
On Target Earnings
(all other U.S. states) per year: $328,000 - $448,000
Please note that visa sponsorship is not available for this position.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Office Based - London, UK
We are hiring a
General Counsel
, reporting to the Chief Operating Officer (COO). This role leads Canonical’s global Legal and Compliance function.
This is a unique opportunity for an
exceptional and commercially-minded senior lawyer
to lead the legal and compliance function of a profitable, fast-growing technology company that is privately held with the intention to list on a public exchange. We’re looking for someone with genuine fluency in the software industry and in open source dynamics, who can translate that insight into clear positions on licensing, commercial contracts and risk, and hands-on execution.
Reporting directly to the Chief Operating Officer, you will
own Canonical's legal, regulatory and governance posture
and lead a distributed team across EMEA and the Americas. Your primary challenge will be to continue building both the team and the architecture: a management layer across two regions, and the governance, contracting and controls a public company needs, in an environment that regularly does things the industry has not done before. You will work closely with our product and engineering teams on licensing and IP questions, with the security function on customer assurance, and you will advise the Board and its committees directly.
In our selection process, we
prioritize intellect and judgement
alongside depth of practice. We are looking for someone with a strong academic background, an active licence to practice, and demonstrable exposure to a multilayered global operational environment.
Location:
This role will be based in our office in London, UK.
The role entails
Leading the global Legal and Compliance function: setting it's structure, standards and priorities across EMEA and the Americas.
Building and managing a management capability: hire and develop managers, set objectives, review performance against a clear bar, and address under-performance directly.
Setting the operating cadence of the function: intake and prioritization of legal work, service expectations with internal clients, and reporting on workload and risk to the leadership team.
Owning public-market readiness on the legal side: corporate governance, group and entity structure, delegated authority, policies, disclosure controls and records, in partnership with Finance.
Advising the CEO, COO, CFO and the Board, and supporting in Board and committee meetings.
Owning the commercial contracting framework: standard templates, negotiating positions, and a deviation and escalation process that makes commitments visible before they are signed.
Leading intellectual property and open source licensing strategy, including copyleft, trademark and the terms on which Ubuntu and our products are distributed.
Owning the global compliance programme: data protection and privacy, export controls and trade compliance, anti-bribery and corruption, competition and AI regulation.
Managing litigation, disputes and regulatory engagement, together with the external counsel panel, its budget and its quality.
Advising on M&A, partnerships, strategic alliances and financing as the company grows.
What we are looking for in you
An exceptional academic track record from both high school and university.
A degree in law, or equivalent, and an active licence to practice in an EMEA or Americas jurisdiction.
Substantial senior in-house experience in a global technology or software business.
Proven experience leading a distributed legal team, including managing managers across regions and time zones.
A track record of setting and holding a high performance bar: hiring well, developing people, and dealing with under performance directly rather than waiting it out.
Experience building or restructuring an in-house legal function, including deciding what is retained, delegated and sent to external counsel.
Technology related experience of:
negotiating and owning commercial technology contracts, including enterprise software and subscriptions, channel and reseller agreements, hardware manufacturer agreements, cloud and services
advising on open source licensing, including permissive and copyleft licences, and familiarity with how open source communities operate.
Experience of, or demonstrable readiness for, public company governance: listing preparation, board and committee support, disclosure and controls.
Depth in at least two of: data protection and privacy, IP and trademark, export controls and trade, competition, or disputes.
Confidence to respectfully speak up, exchange feedback, hold colleagues accountable, and share ideas without hesitation.
Professional written and spoken English with excellent drafting and presentation skills.
Excellent interpersonal skills, curiosity, flexibility, and accountability.
International travel two to four times a year for company events up to two weeks long.
Nice-to-have skills
Experience taking a company through an IPO, or practicing as counsel inside a listed company.
A technical or engineering background, or fluency in how software is built and shipped.
Experience of a subscription or recurring-revenue business model.
Experience building or restructuring an in-house legal function.
A qualification in more than one jurisdiction.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
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 $400,000 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: 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 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 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 $400,000 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 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
.
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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Toronto, Canada
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
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: Bogotá, Colombia
Workplace: hybrid
About Aleph
Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy.
About the role
Aleph is seeking a strategic, high-energy Programmatic Specialist to represent Spotify across the LATAM region from our Bogotá hub. You don’t need to be a hands-on trader or optimizer, but you do need to speak the language of DSPs, SSPs, and Ad Exchanges fluently enough to sell with real credibility, handle objections, and guide media agencies through the offering.
What You Will Do
Own revenue targets and pipeline growth for Spotify’s programmatic advertising solutions (self-serve, PMPs, always-on activations) across LATAM markets.
Proactively prospect and identify new business development opportunities, and unblock stalled ones within agencies and brands, finding the right internal contact, the right angle, and the right moment to move a deal forward.
Build and maintain strong relationships with agency programmatic desks, buying, strategy, and digital teams across multiple markets. Know how agencies are structured internally and how to navigate them.
Evangelize Spotify’s programmatic offering to agencies and clients, driving upsell and always-on activations, and supporting partners with any questions along the way.
Translate campaign performance data into insights and business narratives that resonate with clients at a strategic level.
Train and mentor sales team members on programmatic positioning and talking points.
Stay current on programmatic advertising trends, self-serve platform dynamics, and industry best practices to keep pitches sharp and relevant.
Represent Spotify/Aleph at industry events, building market presence across the region.
Work with third-party vendors and partners to strengthen the offering, and coordinate with internal specialist/operations teams to ensure smooth execution once a deal is won
What We Are Looking For
5+ years of experience in advertising sales, business development, or account management within programmatic and digital advertising.
Solid working knowledge of programmatic fundamentals (DSPs, SSPs, Ad Exchanges, and self-serve platforms), enough to sell and defend the offering with authority, even if you’re not the one operating it day to day.
Proven track record building agency and client relationships and driving revenue growth across LATAM markets (regional exposure strongly preferred).
Strong understanding of agency internal structures and dynamics: you know who to talk to and how to get in the door.
Comfort with data at a consumption level: able to read dashboards and performance reports and turn them into a compelling client story (Salesforce, Sheets/Slides, Excel).
A genuinely commercial mindset: you love prospecting, relationship-building, and closing. Programmatic is your specialty, not just a technical checkbox.
Exceptional storytelling, negotiation, and presentation skills; comfortable holding a room at C-suite level.
Full professional proficiency in Spanish and English
What Will Make Us Really Love You
Commercial drive: You love the chase: prospecting, unblocking, closing.
Enough data fluency to sell: You can read a dashboard and turn it into a story, even if you’re not the one building it.
Adaptability: You’re comfortable moving between a strategic C-suite pitch and a technical programmatic conversation in the same day.
AI-curious by default: When a new tool shows up, you test it and fold it into how you sell (briefs, pipeline signals, prospecting) rather than just tolerating it.
Passion for music, audio culture, or the creator economy: You get why audio matters to brands and to people, and that shows up in how you pitch.
Why Join Aleph
Impact: Represent Spotify, one of the world’s leading audio platforms, and own the growth of its programmatic business across LATAM.
Growth: Aleph gives its internal talent room to learn, take on bigger scope, and grow together across a global organization.
Team culture: Join a place of many cultures, perspectives, and talents, where people support each other and communication and partnership come first.
Market context: Programmatic and audio advertising are among the fastest-evolving areas in digital media. You’ll work on the front line of that change with agencies and brands across the region.
Flexibility: A hybrid setup (2 days per week in the Bogotá office) that balances collaboration and focus time.
We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com.
“Share our similarities, celebrate our differences.” – M. Scott Peck
#ALEPH
Location: Buenos Aires, Argentina
Workplace: hybrid
About Aleph
Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy.
About the role
Aleph is seeking a strategic, high-energy Programmatic Specialist to represent Spotify across the LATAM region from Buenos Aires. You don’t need to be a hands-on trader or optimizer, but you do need to speak the language of DSPs, SSPs, and Ad Exchanges fluently enough to sell with real credibility, handle objections, and guide media agencies (agencias de medios) through the offering.
What You Will Do
Own revenue targets and pipeline growth for Spotify’s programmatic advertising solutions (self-serve, PMPs, always-on activations) across LATAM markets.
Proactively prospect and identify new business development opportunities, and unblock stalled ones within agencies and brands, finding the right internal contact, the right angle, and the right moment to move a deal forward.
Build and maintain strong relationships with agency programmatic desks, buying, strategy, and digital teams across multiple markets. Know how agencies are structured internally and how to navigate them.
Evangelize Spotify’s programmatic offering to agencies and clients, driving upsell and always-on activations, and supporting partners with any questions along the way.
Translate campaign performance data into insights and business narratives that resonate with clients at a strategic level.
Train and mentor sales team members on programmatic positioning and talking points.
Stay current on programmatic advertising trends, self-serve platform dynamics, and industry best practices to keep pitches sharp and relevant.
Represent Spotify/Aleph at industry events, building market presence across the region.
Work with third-party vendors and partners to strengthen the offering, and coordinate with internal specialist/operations teams to ensure smooth execution once a deal is won.
What We Are Looking For
5+ years of experience in advertising sales, business development, or account management within programmatic and digital advertising.
Solid working knowledge of programmatic fundamentals (DSPs, SSPs, Ad Exchanges, and self-serve platforms), enough to sell and defend the offering with authority, even if you’re not the one operating it day to day.
Proven track record building agency and client relationships and driving revenue growth across LATAM markets (regional exposure strongly preferred).
Strong understanding of agency internal structures and dynamics: you know who to talk to and how to get in the door.
Comfort with data at a consumption level: able to read dashboards and performance reports and turn them into a compelling client story (Salesforce, Sheets/Slides, Excel).
A genuinely commercial mindset: you love prospecting, relationship-building, and closing. Programmatic is your specialty, not just a technical checkbox.
Exceptional storytelling, negotiation, and presentation skills; comfortable holding a room at C-suite level.
Full professional proficiency in Spanish and English.
What Will Make Us Really Love You
Commercial drive: You love the chase: prospecting, unblocking, closing.
Enough data fluency to sell: You can read a dashboard and turn it into a story, even if you’re not the one building it.
Adaptability: You’re comfortable moving between a strategic C-suite pitch and a technical programmatic conversation in the same day.
AI-curious by default: When a new tool shows up, you test it and fold it into how you sell (briefs, pipeline signals, prospecting) rather than just tolerating it.
Passion for music, audio culture, or the creator economy: You get why audio matters to brands and to people, and that shows up in how you pitch.
Why Join Aleph
Impact: Represent Spotify, one of the world’s leading audio platforms, and own the growth of its programmatic business across LATAM.
Growth: Aleph gives its internal talent room to learn, take on bigger scope, and grow together across a global organization.
Team culture: Join a place of many cultures, perspectives, and talents, where people support each other and communication and partnership come first.
Market context: Programmatic and audio advertising are among the fastest-evolving areas in digital media. You’ll work on the front line of that change with agencies and brands across the region.
Flexibility: A hybrid setup (2 days per week in the Buenos Aires office) that balances collaboration and focus time.
We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com.
“Share our similarities, celebrate our differences.” – M. Scott Peck
#ALEPH
Location: United Kingdom; Spain; Netherlands; Poland
Workplace: remote
Head of Editorial
About the Role
Finom is looking for a Head of Editorial to own the words across the Finom experience.
We'll be direct with you, because we'd rather you hear it from us than discover it in the first week: our copy isn't good enough yet. It’s inconsistent, it's longer than it needs to be, it doesn't sound enough like us (which we’re still working out), it doesn't convert as well as we’d like, and errors make it through to publication.
That's the job. You'll own the voice, the style guide and the editorial review layer that makes top notch words systematic rather than accidental. You'll lead our copywriting team, develop them, and help them realise their potential. You'll do this by showing as well as telling: you'll show us what amazing looks like. And you'll set Finom's editorial AI strategy, deciding where generation, drafting and checking genuinely help, and where they don't belong at all.
You will own the English (not localisation, but you'll work closely with the people who do, because English is the source language), which means your standard becomes the ceiling for every market we operate in. Tighten the English and every language gets better.
This is a role for an exceptional editor. Not only a writer, though you'll need to be a strong one. The core of this job is taking someone else's draft and making it materially better, quickly, because you've established a strong standard that brings results. If you find that more satisfying than seeing your own byline, you'll enjoy this job a lot.
What You'll Be Doing
• Owning the words across the Finom experience: the standard, the voice and the final read
• Building and owning the style guide, and driving its adoption well beyond the Editorial team
• Establishing the editorial review layer: who reads what before it ships, against what criteria, and how nothing goes out with errors in it
• Leading and developing the copywriting team, giving direct and useful feedback, and hiring as the function grows
• Owning Finom's editorial AI strategy: where generation, drafting and checking are used, where they aren't, and what quality gates they have to pass
• Writing personally on key projects, campaigns and launches
• Coordinating across lifecycle, web, paid and social so that Finom's language is consistent everywhere a customer meets us
• Partnering with Product to make sure brand voice holds inside the product, not just in marketing
• Working closely with localisation partners so English source quality lifts every market
• Making copy work commercially: tightening, sharpening and testing so that writing converts rather than merely describes
• Building the intake and prioritisation model that lets a small team serve rising demand without the standard slipping
What Success Looks Like
In your first 30 days: you've read everything, you know where the worst copy is and why, you've properly assessed the team you've inherited, and you understand where demand actually comes from. You have a diagnosis, not yet a plan. By 45 days: a first version of the style guide is in use, an editorial review layer is running, and errors have stopped reaching publication. By 60 days: intake and prioritisation are agreed with the teams generating demand, the voice is documented and being adopted outside Editorial, and your first AI-assisted workflows are live with quality gates that hold. By 6 months: Finom sounds like one company everywhere. Copy is tighter and converting better, with evidence. The writers on your team are visibly better than when you arrived. Editorial runs as a function rather than a queue.
Who You Are
• An outstanding and fast editor. You improve other people's writing without taking it over. You do it under deadline, without agonising
• A precise writer. Your English is exceptional. You cut rather than decorate
• Direct about quality. You can tell someone their draft isn't working, explain exactly why, and leave them wanting to fix it
• A brilliant documentor. You've created style guides, review processes or editorial standards where none existed
• Commercially literate. You treat copy as a lever, not only as craft, and you can point to writing that moved a number
• Genuinely cross-functional. You get good work shipped through other teams' processes, not just your own
• Comfortable with ambiguity. There's no style guide, no review process and no documented voice yet. You find that energising
Must-Haves
• Evidence that you can lead the editorial standard, whether through direct people management, mentoring other writers, or operating as a senior individual contributor with strong stakeholder influence. Experience managing and developing writers is highly valued.
• Experience producing high-volume marketing and conversion copy in a fast-moving tech or digital environment. In-house experience is preferred, but strong agency backgrounds are equally relevant where you’ve worked at pace across multiple channels.
• English at native level. Exceptional command of written English, since your work sets the quality ceiling for every localised market
• Demonstrable AI fluency in an editorial context. Not tool familiarity: evidence that you've set policy in practice, defined where AI isn't used, built the checking layer, and held quality as volume rose
• A track record of building editorial standards, style guides or review processes from scratch
• Experience developing writers who measurably improved
• Ability to work across marketing and product surfaces
• Based in an eligible EU location, the UK or Ireland
We're deliberately open on background. Editorial and journalism, brand and advertising copywriting, and B2B content marketing are all valid routes into this role. We care about the work and the judgement, not the job titles.
Nice-to-Haves
• Fintech, financial services or another regulated industry where precision genuinely matters
• Experience owning voice across both marketing and in-product copy
• Experience running a source-language function feeding multi-market localisation
• Experience building or managing a freelance writer network
Why Finom
Finom is building the financial platform European entrepreneurs actually want to use, in a category where almost every brand looks and sounds the same. Our customers rate us 4.8 on Trustpilot, higher than any other B2B banking player in Europe, so the product is genuinely good; the job in Brand is to make sure the way Finom reads and sounds matches it. That means an editorial function you get to build rather than inherit, an editorial AI strategy designed from a clean sheet at a moment when very few companies have worked this out properly, and real appetite at senior level for quality as a way to win rather than a cost line. If you've spent time somewhere the writing was tolerated rather than cared about, this will feel different.
Compensation & Benefits
This role sits at Job Level 6, which includes equity options under Finom's Incentive Plan, eligibility for the High Performance Bonus Plan, and a salary positioned within Finom's range for your location, level and job family, benchmarked to the 50th–75th market percentile.
Our Process
A 30-minute screen, a conversation with the VP of Brand, a three-hour editorial task with a follow-up discussion, a short cross-functional panel, a conversation with the writers you'd be leading, and a final interview with our CMO. We aim to move quickly and we'll tell you where you stand at every stage.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: United Kingdom; Spain; Netherlands; Poland
Workplace: remote
Art Director, Brand & Marketing Design
About the Role
Finom is building a brand that European entrepreneurs recognise and trust, and right now the visual side of that brand needs an owner.
We are looking for an Art Director to lead our Marketing Design team and take ownership of Finom's visual identity end to end. Not marketing design in isolation: the brand system itself, the guidelines behind it, and how consistently it shows up everywhere Finom appears.
You are joining at a genuine inflection point. Finom is growing fast, helping entrepreneurs around Europe take their businesses to the next level. We have over 200k users with ambition for millions more. Meanwhile, our customers rate us 4.8 on Trustpilot, the only business banking app above 4.7.
Our ambition brings with it a unique set of challenges. Your job will be twofold: raise the creative bar, and build the system that lets a team deliver at volume without the quality dropping.
Your first months will be as much about diagnosis as creation: auditing the existing identity, understanding where the current team and workflows are working or falling short, and putting the foundations in place for what comes next. From there, you'll help determine and lead the next evolution of Finom's visual identity.
This is a hands-on leadership role. You will direct and mentor, and you will also design, setting the visual benchmark yourself, not just reviewing other people's work against it. You will work in close partnership with our VP of Product Design, so that the brand reads as one across marketing, product, and the entire brand experience.
Finom is building an AI-native production pipeline, and we want a creative leader who is already fluent in it. Not someone curious about AI, someone who has shipped with it and can design the workflows, quality gates and brand guardrails that make AI output genuinely good rather than merely fast.
What You Will Be Doing
• Own Finom's visual identity (the brand system, guidelines, design systems and documentation) and drive consistent adoption across every team and touchpoint, including teams that produce assets outside your own
• Set and hold the creative bar. Shape visual direction across channels and make consistency and quality non-negotiable
• Lead and develop the existing Marketing Design team, assess its capabilities and future shape, and determine where additional permanent, freelance or AI-enabled capacity is needed
• Define the design requirements for intake, briefing, prioritisation, SLAs and review, working with Brand Operations and Marketing Operations to turn them into scalable processes
• Design and direct high-quality visual and motion assets that bring the brand to life, personally setting the benchmark for the wider team
• Build the AI-native production pipeline: define where AI accelerates the work, where it doesn't, and what quality and brand-integrity gates it has to pass. Create the templates, systems and tools that let both designers and AI workflows execute independently
• Provide creative direction at the front of significant projects (the creative kickoff, the concept, the narrative) rather than reviewing work once it's already been produced
• Direct the creation of mood boards, design references, scamps, storyboards and animatics to communicate creative intent
• Partner with Marketing, Product, copywriters and strategists to develop campaigns across digital-first channels (social, web, video), with the ability to stretch into ATL where the moment calls for it
• Own projects from concept through delivery, and run multiple parallel workstreams without letting standards slip
• Build and present creative work to senior stakeholders, articulating rationale clearly enough to guide decisions
• Manage a flexible pool of freelance and external creative partners to absorb peaks in demand
• Act as guardian of the visual identity while continuously pushing where the brand can be braver
Who You Are
• A genuinely strong designer. Other designers respect your work and want to learn from you; that's the bar, and it isn't optional for this role
• Strong design taste, and able to articulate how it impacts the business. You can tell excellent from generic and explain precisely why, in terms a non-designer can act on
• A builder of process as much as a maker of work. You believe high volume and high quality are compatible, and you have the systems thinking to prove it
• Customer-obsessed in how you approach brand: your creative decisions trace back to what the audience actually responds to, not to internal taste
• Comfortable with ambiguity. Finom is moving fast, the setup is being built as you go, and you find that energising rather than exhausting
• A generous leader who elevates people, gives direct feedback, and turns good work into exceptional work
• Confident with senior stakeholders without becoming a bottleneck for them
Must-Haves
• 8+ years as a graphic or brand designer, ideally in fast-moving, brand-led environments
• 4+ years as a design leader with direct responsibility for a team of three or more
• Experience building customer-facing technology brands or consumer digital products at scale. Your portfolio should show how strong visual craft works alongside usability, clarity and commercial objectives
• A track record of building and evolving brand systems across campaigns, products or businesses, including ownership of key visual directions
• A standout portfolio showing strategic thinking, creativity and polished execution across visual design, motion, editorial, digital and social formats
• Clear examples of work where you led or directed other creatives
• Demonstrated AI design fluency, with evidence of AI-native production rather than occasional AI assistance: workflows you built, quality standards you set, output you shipped
• Experience creating scalable brand systems, templates, tools and guidelines that let other teams execute independently
• Expertise across Adobe Creative Cloud and Figma, with the ability to define efficient workflows and standards for a team
• A portfolio of shipped brand assets: campaign visuals, social graphics, presentation decks, event materials, marketing collateral
• Excellent communication skills and the judgement to influence at a senior level
• Fluent English
Nice-to-Haves
• Experience in fintech or financial services
• Experience with sponsorship, partnership or event-led brand work at scale
• Motion design depth, or experience directing motion specialists
• Experience partnering closely with a product design function on a shared brand system
• Experience building and managing a freelance or external creative network
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Riga, Latvia; Poland; Tallinn, Estonia
Workplace: fully
About the Client
Our client is an international company in the crypto industry, providing a comprehensive payment ecosystem. They offer solutions for accepting cryptocurrency payments, automatic crypto-to-fiat conversion, and secure wallet services, serving diverse sectors like e-commerce and fintech.
Role Overview
This is an exciting opportunity for a skilled Chief Operating Officer to lead operational teams in a dynamic crypto company. You will play a critical role in improving organizational effectiveness and helping the company scale efficiently. Your expertise in blockchain products and technology-driven businesses will be pivotal in connecting Product, Engineering, and Operations, and leading complex cross-functional initiatives.
Key Responsibilities
Lead Product Operations, Revenue Operations, Operational Excellence, Support, and strategic initiatives.
Improve structures, ownership, KPIs, and team performance.
Translate product and technology decisions into scalable operational processes.
Work closely with Product and Engineering on automation, efficiency, and customer experience.
Develop strong leaders and build blockchain knowledge across operational teams.
Turn strategic priorities into clear projects and measurable business results.
Requirements
Senior operations leadership experience in a blockchain-native, crypto-product, or digital-assets company.
Strong practical knowledge of blockchain products, infrastructure, and transaction flows.
Experience managing several teams, ideally with a total scope of 50+ people.
Proven ability to improve efficiency, execution, and business performance.
Experience leading projects across Product, Engineering, Operations, and Commercial teams.
Languages: English
Experience in fintech
Key Soft Skills
Excellent communication skills
Strong leadership capabilities
Strategic thinking
Problem-solving aptitude
Ability to work collaboratively
What We Offer
Fully remote work environment
Competitive salary of $100,000 per year
Opportunity to work in an international setting
Continuous professional development opportunities
Location: Ireland; London, England, United Kingdom
About the Job:
The Customer Success Manager reports directly into the regional CS leader and represents LaunchDarkly as the direct point-of-contact with our customers post-sales. They are LaunchDarkly subject-matter experts guiding our new and expanding customers towards implementation and adoption and helping them achieve their desired use-cases and realize value. The best candidate for this role will be passionate about customer success with a keen interest in software development and DevOps, balanced with a strong sales acumen. In LaunchDarkly GTM, we are all customer-obsessed and striving for massive year over year growth.
Responsibilities:
Customer Onboarding: You will shepherd in new customers from the sales handoff through successful activation in the product. This includes building out success plans to get customers up to speed in the platform, project management through onboarding, helping customers leverage the most appropriate enablement paths and assessing customer’s adoption on an ongoing basis.
Risk Identification and Mitigation: You’ll work to proactively identify and diagnose risk inhibiting adoption or that may cause churn and contraction. You’ll own building a risk mitigation strategy and coordinating across the account team to effectively steer the customer to success.
Technical Guidance: You’ll maintain a deep level of LaunchDarkly product knowledge and be expected to provide customers with direction on implementation and adoption best practices.
Prescriptively Sell: You maintain a pulse on how our customers are tracking against their key goals and outcomes identifying opportunities for customers to purchase additional products, services and adopt new features needed for them to maximize the value of our solution.
Trusted Advisor: You understand your customers like no other and have built enough trust to act as an extension of their team. You provide prescriptive guidance to customers to help them get the most out of their LaunchDarkly purchase.
Build Champions & Executive Relationships: You are an expert champion builder. You consistently work to identify & support key advocates within your customers’ organization who actively promote the value of LaunchDarkly. In partnership with your Champion, you’re able to leverage success metrics & value driven insights to gain sponsorship at an Executive level.
Renewal and Expansion focused: You are comfortable owning a number and forecasting on a weekly basis. You will work directly with customers, sales and deal desk to execute renewal agreements on time and to identify expansion opportunities within your accounts
About You:
Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. You operate with a high level of urgency at all times. You thrive in a fast paced, start-up environment.
Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. You view feedback as a necessity for growth so consistently seek it out and give it.
Intellectual Curiosity: You have a hunger for knowledge and are naturally a question-asker.
Excellent Communication: Your written and spoken communication skills are outstanding.
Organized & Autonomous: You are capable of efficiently managing your workload and have a process for time management. You do not require a lot of external direction to prioritize your work.
Highly Adaptable: You excel in a fast-paced and dynamic organizational setting.
Strong Sales Acumen: You have a high level of sales acumen, strong negotiation skills and are eager to own a number. This is a commercially focused CS organization.
Natural Problem Solver: You have strong critical thinking skills and enjoy the process of solving complex customer problems. You are able to escalate issues when necessary in a clear, effective manner.
Team Player: You collaborate well with others, know when to pull specialists or leaders in and keep others informed proactively. Win as a team!
Qualifications:
5+ years in a customer-facing role, ideally in account management, customer/partner success or onboarding/implementation with a track record of exceeding targets.
Experience owning the renewal process and being held accountable to a retention quota. This is a commercially oriented Customer Success team.
Strong discovery and qualification skills; training in Command of the Message, MEDDIC or another sales methodology is preferred.
Strong project management skills. You should have experience holding customers and cross-functional teams accountable to a timeline.
Experience working on a technical product, ideally interacting with developers or other technical personas as your primary customer. Experience within the DevOps space preferred.
Experience with both proactive and reactive customer success motions.
We will teach you all about LaunchDarkly, but you should have an existing level of technical knowledge and know-how.
Proven ability to advocate for both your customers and your company. You know how to be the voice of the customer in the company while mediating between the customer's requests and the company's vision.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
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Location: Warsaw, Poland
Workplace: fully
About Global University Systems (GUS)
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
About the Role
The Admissions Manager will lead InUni’s admissions operations in Poland, managing the student application journey from application through to enrolment.
The role will be responsible for team performance, application conversion, operational efficiency, student experience and university partner relationships.
Key Responsibilities
Lead and manage the Poland Admissions team, setting targets and driving performance.
Own the end-to-end admissions process, ensuring applications are processed accurately and efficiently.
Monitor and improve key conversion metrics including application-to-offer and offer-to-enrolment.
Manage application pipelines, identify bottlenecks and ensure timely follow-up.
Work closely with Recruitment, Compliance, Marketing and University Partnerships teams to maximise student conversion.
Build strong relationships with university admissions teams and act as the key escalation point for complex cases.
Ensure admissions processes meet university requirements and relevant regulatory standards.
Use CRM and performance data to identify trends, improve processes and drive decision-making.
Produce regular admissions performance reports and forecasts for senior management.
Coach and develop the admissions team, creating a high-performance and student-focused culture.
Identify opportunities to improve processes, systems and the overall student journey.
Experience & Skills
3+ years' experience in international student admissions, student recruitment, higher education or a related field.
Proven experience managing and developing a team.
Strong understanding of the international student application and admissions journey.
Strong commercial and analytical mindset, with experience managing KPIs and conversion.
Excellent stakeholder management and communication skills.
Highly organised with strong attention to detail.
Experience using CRM/admissions systems and analysing pipeline data.
Fluent English and Polish
Experience with the Polish higher education market is an advantage.
Key Success Measures
Application processing times
Application-to-offer conversion
Offer-to-enrolment conversion
Admissions team productivity and performance
Student experience
University partner satisfaction
Accuracy and compliance of applications
Other Information
Please note this position is only available on our consultancy agreement.
Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Location: Warsaw, Poland
Workplace: fully
About Global University Systems (GUS)
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
About the Role
The Admissions Manager will lead InUni’s admissions operations in Poland, managing the student application journey from application through to enrolment.
The role will be responsible for team performance, application conversion, operational efficiency, student experience and university partner relationships.
Key Responsibilities
Lead and manage the Poland Admissions team, setting targets and driving performance.
Own the end-to-end admissions process, ensuring applications are processed accurately and efficiently.
Monitor and improve key conversion metrics including application-to-offer and offer-to-enrolment.
Manage application pipelines, identify bottlenecks and ensure timely follow-up.
Work closely with Recruitment, Compliance, Marketing and University Partnerships teams to maximise student conversion.
Build strong relationships with university admissions teams and act as the key escalation point for complex cases.
Ensure admissions processes meet university requirements and relevant regulatory standards.
Use CRM and performance data to identify trends, improve processes and drive decision-making.
Produce regular admissions performance reports and forecasts for senior management.
Coach and develop the admissions team, creating a high-performance and student-focused culture.
Identify opportunities to improve processes, systems and the overall student journey.
Experience & Skills
3+ years' experience in international student admissions, student recruitment, higher education or a related field.
Proven experience managing and developing a team.
Strong understanding of the international student application and admissions journey.
Strong commercial and analytical mindset, with experience managing KPIs and conversion.
Excellent stakeholder management and communication skills.
Highly organised with strong attention to detail.
Experience using CRM/admissions systems and analysing pipeline data.
Fluent English and Polish
Experience with the Polish higher education market is an advantage.
Key Success Measures
Application processing times
Application-to-offer conversion
Offer-to-enrolment conversion
Admissions team productivity and performance
Student experience
University partner satisfaction
Accuracy and compliance of applications
Other Information
Please note this position is only available on our consultancy agreement.
Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
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.
ОфисOffice Based - London, UK; Proven experience leading a distributed legal team, including managing managers across regions and time zones
United States; For applicants from the European Union, please review
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