Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Endpoint team (Client Platform Engineering) manages the laptops and handsets every Anthropic employee works on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and every piece of configuration ships as code through pull requests, CI, staging, and a canary group. Today the mobile side of the fleet is BYOD. This role exists to change that. You will design and implement a corporate-issued mobile device program (managed company phones and managed Apple accounts) in every region Anthropic operates in, and take it from early design to production.
The team is deliberately lean and runs with high autonomy. You’ll define what a corporate mobile program looks like at Anthropic and own the platform decisions that get it there.
Responsibilities
Design the corporate-issued mobile device program: device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates
Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles
Bring mobile configuration into the team’s config-as-code pipeline so mobile policies are reviewed, tested, and progressively rolled out like the rest of the fleet
Build zero-touch enrollment: Apple Business Manager and ADE with managed Apple accounts on iOS, the zero-touch equivalent on Android, so a new phone works the first time without hands-on setup
Own policy, compliance, and device lifecycle for the corporate fleet, from issue to wipe
Build telemetry on the corporate fleet: which devices are checking in, OS and patch state, drift between reported and actual state
Own managed app distribution for mobile, from app approval through update rollout
Partner with Corporate Security on device posture, device trust signals, and travel devices for international trips
Decide how corporate-issued and BYOD coexist, and own that boundary as the program rolls out
You may be a good fit if you
Have owned a global or multi-region mobile device program end to end, with 8+ years managing corporate fleets at thousands-of-devices scale
Go deep on iOS device management: enrollment flows, Apple Business Manager and ADE, APNs and certificate lifecycle, declarative device management
Have worked with Android device management and can hold your own in a mixed fleet
Treat device configuration as code and have moved past clicking in consoles
Have run the infrastructure under an MDM, not just administered a SaaS console: a self-hosted MDM server, AWS, Terraform, and configuration that ships as code
Have built or launched a corporate device program, not just operated one, and can decide how it coexists with BYOD
Excel at ambiguous problems that touch several teams at once
Communicate technical concepts clearly to any audience
View IT Engineering as requiring product engineering rigor
Write clear documentation as a natural part of your workflow
Strong candidates may also
Have managed ChromeOS devices alongside a mobile fleet
Have run a device program across multiple regions and dealt with the logistics that come with it
Have built automated, progressive rollout systems with promotion gated on telemetry
Bring proficiency in Swift for building device tooling
Have used LLMs to automate operational work, or are excited to make Claude a teammate
Technical Skills
Python and shell scripting
iOS and Android platform internals (depth on iOS, working knowledge of Android)
Modern MDM or UEM platforms (Jamf, Intune, Workspace ONE, or equivalent)
Running the infrastructure under an MDM (self-hosted servers, AWS GCP, Terraform)
Querying live device state at fleet scale
Mobile device lifecycle automation (enrollment, policy, patching, app distribution)
GitOps and CI for configuration management
Endpoint security fundamentals
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone.
What you'll do:
Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure
Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities
Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features
Build tools that maximize autonomy and creative freedom for less-technical users
Make product and prioritization decisions, not just execute on specs handed to you
Iterate quickly based on feedback to continuously improve the user experience
Pick up new tools, frameworks, and domains as the product evolves
You may be a good fit if you:
Have 6+ years of experience building production software, ideally full-stack
Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way
Think in systems and abstractions—you see the platform behind the feature request
Care about empowering users, not just building for them
Own outcomes, not just code—you care whether the thing you built actually solved the problem
Are comfortable making decisions with incomplete information and operating with ambiguity
Hold yourself to a high bar without needing external pressure
Strong candidates will have:
Proficiency across the stack (we use Python, TypeScript, React)
Experience building platforms, primitives, or internal tools that others build on top of
A track record of shipping products independently—not just contributing to larger efforts
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£255,000
—
£325,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone.
What you'll do:
Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure
Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities
Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features
Build tools that maximize autonomy and creative freedom for less-technical users
Make product and prioritization decisions, not just execute on specs handed to you
Iterate quickly based on feedback to continuously improve the user experience
Pick up new tools, frameworks, and domains as the product evolves
You may be a good fit if you:
Have 6+ years of experience building production software, ideally full-stack
Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way
Think in systems and abstractions—you see the platform behind the feature request
Care about empowering users, not just building for them
Own outcomes, not just code—you care whether the thing you built actually solved the problem
Are comfortable making decisions with incomplete information and operating with ambiguity
Hold yourself to a high bar without needing external pressure
Strong candidates will have:
Proficiency across the stack (we use Python, TypeScript, React)
Experience building platforms, primitives, or internal tools that others build on top of
A track record of shipping products independently—not just contributing to larger efforts
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Corporate Security Engineer, you'll help secure the systems GitLab team members rely on every day across a fully remote environment. This role sits within Corporate Security Engineering and focuses on building secure-by-default controls for endpoints and the SaaS platforms that support them, with a strong emphasis on macOS. You'll own meaningful technical decisions around endpoint hardening, automation, and detection, and you'll help turn security requirements into scalable engineering systems that are measurable, auditable, and designed to reduce friction for end users.
This is a strong fit if you're motivated by solving security problems with code. You will work across endpoint management, identity, and security operations to improve how GitLab manages macOS, iOS, Windows, and Linux devices through Infrastructure-as-Code, Terraform, and GitOps workflows. In your first year, you'll be expected to strengthen endpoint security architecture, expand automation, and improve the reliability and auditability of how controls are deployed and maintained.
What you’ll do
Lead the security architecture of GitLab's endpoint fleet and related infrastructure, with a primary focus on macOS.
Design and support automation for secure endpoint deployment, configuration, and lifecycle management using code-based workflows.
Manage endpoint and SaaS security configuration through Terraform, version control, merge requests, continuous integration pipelines, and automated rollouts.
Define and enforce security baselines across macOS, iOS, Windows, and Linux endpoints.
Develop patching and software distribution approaches that align with security, compliance, and operational requirements.
Partner with Information Technology, Security Operations, and Detection and Response teams to improve endpoint telemetry, detections, and response models.
Drive process improvements that reduce manual work and lower risk by favoring automation, policy-driven controls, and auditable change management.
Mentor engineers across Corporate Security and Information Technology, and serve as a senior escalation point for complex endpoint security issues.
What you’ll bring
Experience designing and delivering endpoint, systems, or corporate security solutions in environments that require scalable, durable controls.
Deep knowledge of endpoint management platforms such as Jamf Pro or FleetDM, especially for architecting and securing macOS environments.
Strong hands-on ability with Terraform and Infrastructure-as-Code practices, including module design, state management, and pipeline-based deployment.
Experience working with GitOps workflows where changes are managed through Git repositories, merge requests, code review, and automated pipelines.
Strong proficiency in scripting or programming for automation and security tooling, such as bash, Python, PowerShell, or Go.
Familiarity with cloud identity providers and directories, including platforms such as Okta, Google Workspace, LDAP.
Ability to communicate clearly, collaborate across distributed teams, and work independently in an all-remote environment.
Openness to bringing transferable experience from adjacent security, systems, or platform engineering backgrounds, along with a practical and security-focused approach to problem solving.
About the team
The Corporate Security Engineering team secures the internal environment GitLab team members use every day, including endpoints, identity systems, SaaS applications, and platforms that store sensitive internal data. It's a small, high-leverage team that treats security work as engineering work: building with code, operating through Git, and using reviewable, testable, and auditable workflows by default. The team partners closely with Information Technology, Security Operations, and Engineering across regions, collaborating asynchronously to build controls that scale across GitLab's all-remote workforce while reducing friction for end users.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$168,000
—
$238,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Director, Product Management - Data Science
San Mateo, CA
At Sony Interactive Entertainment, PlayStation creates unforgettable gaming experiences for millions of players around the world. As a global leader in interactive entertainment, we operate at massive scale across a complex digital ecosystem spanning hardware, software, services, commerce, marketing, and player engagement.
About the Role
We are seeking a
Director of Data Science Product Management
to lead the strategy, prioritization, and execution of data science to drive better decision-making and player experiences across PlayStation.
This role is responsible for portfolio of products across the data science lifecycle - identifying high-value analytical opportunities, shaping predictive and decision products, and ensuring they deliver measurable business outcomes through adoption, monitoring and continuous improvement. The role will lead a team of Data Science Product Managers responsible for applying data science to solve business problems, including capabilities across customer lifetime value, player lifecycle intelligence, forecasting, simulations, audience intelligence and decision automation.
The Director will help ensure that SIE’s data science investments are focused on the highest-impact opportunities, built with strong product discipline, and adopted in the workflows where they can create measurable business value.
Key Responsibilities
Translate business priorities into structured problem statements, investment cases, product strategies, and measurable outcomes, ensuring data science work is managed as a scalable product portfolio rather than one-off analytical requests.
Drive product strategy and lifecycle ownership for player value and decision intelligence capabilities, such as CLV, engagement and forecasting, ensuring high quality products are advanced from discovery through productionization, adoption, monitoring, iteration, and long-term value realization.
Establish clear criteria for when analytical work should remain exploratory, become a recurring decision process, or graduate into a production-grade product.
Define success metrics and quality standards for data science products, including business impact, adoption, reliability, interpretability, model quality, operational sustainability, and decision quality.
Partner with Data Science and Analytics leaders to ensure rigor across experimentation, causal inference, forecasting, incrementality measurement, model evaluation, and value analysis, while promoting these approaches as core decision-making tools.
Influence senior stakeholders across functions to align strategy, clarify priorities, manage tradeoffs, and drive adoption of data science products.
Guide Product Managers across the product lifecycle while directly leading or sponsoring the organization's highest-impact and most ambiguous product initiatives.
Create a strong Data Science product culture centered on hypothesis-driven discovery, evidence-based prioritization, measurable business impact and close partnership with cross-functional partners.
Qualifications
Bachelor’s degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or a related field.
15+ years of relevant experience, including 8+ years in digital product management, data product management, AI/ML product management, analytics product management, or related roles.
6+ years of people management experience, including experience leading Product Managers or senior product-oriented analytics leaders.
Proven experience leading complex, cross-functional portfolios involving Data Science, ML Engineering, Analytics, Data Engineering, and business stakeholders.
Strong understanding of data science and machine learning workflows, including experimentation, predictive modeling, forecasting, segmentation, recommender systems, lifecycle modeling, productionization, and monitoring.
Experience with products or capabilities related to CLV/LTV, personalization, churn, propensity modeling, forecasting, audience targeting, marketing optimization, commerce, or digital engagement.
Familiarity with modern data and ML ecosystems such as SQL, Python, Snowflake, Spark, feature stores, MLOps tools, model monitoring, APIs, and analytics platforms.
Demonstrated ability to translate ambiguous business needs into product strategies, roadmaps, priorities, and measurable outcomes.
Strong executive communication skills, including the ability to translate technical concepts into business impact.
Experience leading, mentoring, and developing high-performing product teams.
Preferred Skills
Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology businesses.
Deep experience with customer intelligence, player lifecycle analytics, personalization, experimentation, audience intelligence, or growth optimization.
Experience defining success metrics and quality standards for data science products, including adoption, reliability, latency, interpretability, fairness, model drift, and business impact.
Experience building product management capabilities, teams, or operating models from the ground up.
Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows, accelerate insight generation, and enhance decision-making.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$273,000
—
$409,600 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: New York, NY
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Engineering Manager to join our Business Productivity team. This role will report to the VP of Platform Engineering. You will lead a team responsible for improving the efficiency of our internal lines of business by embedding AI into their core workflows.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead, mentor, and grow a high-performing engineering team through coaching, authentic feedback, and hiring
Partner closely with internal business units to identify high-leverage opportunities and ship features end-to-end that deliver measurable employee productivity gains
Drive the delivery of AI-native solutions
Own core services and ensure secure, high-quality, and reliable experiences in a fast-moving environment
Balance quality with delivery speed, identify bottlenecks, and clearly communicate tradeoffs across engineering, product, and business stakeholders
Set technical direction across the team’s roadmap and its three bets: AI adoption, employee efficiency, and foundational improvements
The ideal candidate has:
6+ years of hands-on engineering experience and 2+ years managing engineering teams
Experience building web applications and APIs on cloud infrastructure (AWS or similar)
Strong sense of ownership and proactive problem-solving mindset
The ability to partner with non-technical business stakeholders and translate their workflows into effective technical solutions
Experience thriving in a startup or other fast-moving, high-accountability environment
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base salary range for this position is $310,000 – $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Engineering Manager to lead teams working on our core product. This role will report to the Director of Engineering. You will collaborate closely with talented product, data, and design teams to build data ingestion systems and new product experiences which may include AI enhancements.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Provide technical oversight and drive new features with a focus on Garner’s strategic mission
Build a high-performance team by mentoring, providing feedback, and hiring
Continuously strive for quality while maintaining speed of delivery
Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
Protect our users’ privacy and security through best practices
The ideal candidate has:
6+ years of hands-on engineering experience, with a track record of translating ambiguous business requirements into scalable solutions and new product features
2+ years of managing engineering teams, with a proven ability to inspire, motivate, mentor, and retain top engineering talent
Familiarity with web application development, API design and cloud infrastructure like AWS
Strong sense of ownership and proactive problem-solving mindset
A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
Experience working in a rapidly evolving startup environment
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
Technologies we use:
Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Lisbon, Portugal
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Who You Are
You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process.
What You’ll Do
- Collaborate closely with our engineering team to help them be more productive by improving development tools.
- Maintain a strong connection to the product and remain comfortable engaging in direct feature development
- You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant.
- Research, implement, and develop tools to help developers write new code.
- Ensure the CI/CD infrastructure and process is reliable and consistent.
What we’re looking for
- Solid background in Linux.
- Experience in CI/CD stack development and maintenance.
- Working proficiency with Ruby, Javascript or Python.
- Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.).
- Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana).
- Experience with containerization (Docker, Kubernetes, etc).
What we’d be particularly excited about
- Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright.
- Familiarity with databases like MongoDB and/or ClickHouse.
- Experience with build systems like Webpack, Gradle, etc.
- Proficiency with the CI tools like Jenkins, TeamCity, etc.
What you’ll learn:
- You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools.
- You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies.
Blog Posts
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
GLOBAL TEAMS
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Krakow, Poland
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Who You Are
You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process.
What You’ll Do
- Collaborate closely with our engineering team to help them be more productive by improving development tools.
- Maintain a strong connection to the product and remain comfortable engaging in direct feature development
- You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant.
- Research, implement, and develop tools to help developers write new code.
- Ensure the CI/CD infrastructure and process is reliable and consistent.
What we’re looking for
- Solid background in Linux.
- Experience in CI/CD stack development and maintenance.
- Working proficiency with Ruby, Javascript or Python.
- Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.).
- Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana).
- Experience with containerization (Docker, Kubernetes, etc).
What we’d be particularly excited about
- Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright.
- Familiarity with databases like MongoDB and/or ClickHouse.
- Experience with build systems like Webpack, Gradle, etc.
- Proficiency with the CI tools like Jenkins, TeamCity, etc.
What you’ll learn:
- You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools.
- You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies.
Blog Posts
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
GLOBAL TEAMS
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Warsaw, Poland
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Who You Are
You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process.
What You’ll Do
- Collaborate closely with our engineering team to help them be more productive by improving development tools.
- Maintain a strong connection to the product and remain comfortable engaging in direct feature development
- You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant.
- Research, implement, and develop tools to help developers write new code.
- Ensure the CI/CD infrastructure and process is reliable and consistent.
What we’re looking for
- Solid background in Linux.
- Experience in CI/CD stack development and maintenance.
- Working proficiency with Ruby, Javascript or Python.
- Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.).
- Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana).
- Experience with containerization (Docker, Kubernetes, etc).
What we’d be particularly excited about
- Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright.
- Familiarity with databases like MongoDB and/or ClickHouse.
- Experience with build systems like Webpack, Gradle, etc.
- Proficiency with the CI tools like Jenkins, TeamCity, etc.
What you’ll learn:
- You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools.
- You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies.
Blog Posts
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
GLOBAL TEAMS
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Задачи:
— Проектирование, создание и внедрение AI-агентов для автоматизации и поддержки ключевых бизнес-процессов в Sales, Marketing, Customer Success, Customer Support, Risk и Finance.
— Разработка архитектуры и оркестрация агентских систем, включая управление инструментами, памятью, многошаговое планирование, эскалацию с участием человека, защитные механизмы и аудит, соответствующие требованиям финтех-компании.
— Создание и поддержка RAG-пайплайнов, обеспечивающих работу агентов на основе внутренней базы знаний Tipalti: документация, данные клиентов, финансовые записи, внутренние инструкции, с использованием векторных баз данных, гибридного поиска и переоценки результатов.
— Определение и внедрение систем оценки агентов по таким метрикам, как выполнение задач, точность, уровень галлюцинаций, задержки и бизнес-эффект, с последующей итеративной доработкой на основе данных и отзывов заинтересованных сторон.
— Взаимодействие с различными подразделениями компании для выявления кейсов использования агентов, трансформации бизнес-требований в технические задачи и доставки продуктов с измеримым ROI.
Требования:
— Высшее образование в области компьютерных наук, инженерии или смежных дисциплин с акцентом на искусственный интеллект.
— Опыт работы не менее 3 лет в области AI/ML-инжиниринга, предпочтительно в финтехе или смежных сферах, с успешным опытом внедрения AI-агентов или агентских рабочих процессов в продакшн.
— Владение Python и SQL для обработки данных, анализа и построения AI-систем.
— Глубокие знания LLM и prompt engineering, включая систематическую оценку корпоративных AI-решений.
— Опыт создания RAG-систем и разговорных чатботов будет преимуществом.
— Опыт работы с облачными платформами, предпочтительно AWS, для деплоя и AI-Ops практик.
— Аналитический склад ума, умение критически оценивать AI-решения и их влияние на бизнес.
— Навыки управления проектами, способность расставлять приоритеты и балансировать краткосрочные и долгосрочные задачи для своевременной реализации результатов.
Условия:
— Возможность удалённой работы.
— Гибридный формат работы в офисе в Тель-Авиве (2 дня дома, 3 дня в офисе) с предоставлением трансфера, парковки, снеков.
— Конкурентные социальные гарантии, карьерное консультирование и поддержка разнообразия в коллективе.
Компания Tipalti — платформа автоматизации финансов, работающая с более чем 5000 компаниями по всему миру, сотрудничает с ведущими финансовыми институтами и обеспечивает выплаты в 120 валютах по 200+ странам.
Tipalti поддерживает инклюзивность и равные возможности для всех кандидатов.
Location: Lisbon, Portugal
About the role:
We are looking for a technically strong Senior Application Security practitioner ready to take on real ownership. You will work directly with the Head of AppSec, contributing to the Secure Design practice and helping drive shift-left security across the organization.
What You'll Do
Help build and mature the Secure Design and Threat Modeling program by defining methodology, review standards, and sign-off criteria across the organization
Drive shift-left security initiatives, embedding security earlier in the development lifecycle through design reviews, developer enablement, and security gating in CI/CD
Own API security as a discipline
Support offensive security initiatives
Build and maintain security automation in Python, tooling that scales AppSec capacity
Work directly with developers on SAST and SCA remediation, scan optimization, and reducing friction in the security feedback loop
Contribute to AI-assisted security pipelines; define escalation paths, SLAs, and accountability structures for vulnerability management
What We're Looking For
Hands-on experience across secure design, threat modeling, API security, and offensive security
Offensive security capability with penetration testing experience and solid understanding of real-world attack and API exploitation patterns
Deep familiarity with OWASP Top 10 in practice
API security depth, experience assessing REST and GraphQL APIs
Python proficiency, comfortable building automation tools that others will depend on
Experience in shift-left programs: security in CI/CD, developer enablement, design review processes
Understanding of web application and API security
Comfortable reading code across languages and engaging with engineering teams at technical depth
Familiarity with cloud-native environments and attack surface management
Demonstrated ability to influence across engineering and product and operate at architecture level
Relevant certifications are a plus: OSCP, OSWE, GWEB, CSSLP, CISSP, CEH
Exposure to AI-assisted security tooling or LLM security is a differentiator
Experience as a developer and fluency in Ruby, Python, and Scala are a plus
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on.
dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights.
Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work:
dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both
.
You’ll help build dbt’s
AI-native developer experience
, including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across
Python, TypeScript, React, and Kubernetes
, with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff
What you’ll do
Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs.
Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics.
Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex.
Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked.
Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers.
Skills we are looking for
8+ years building production software, including senior-level ownership of projects that ran for months and involved several people.
Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff.
Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool.
Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks.
Strong written communication: you can make a technical argument in a document and bring people along.
Worked asynchronously as part of a fully-remote, distributed team
Bonus points for
Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down.
Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals.
Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift).
Migrated users off a legacy product surface and decommissioned it without breaking them.
Go, Rust, or systems-level performance experience.
#LI-HYBRID
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Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
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. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Mexico
Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
The specialist will join a DevOps and Infrastructure Services team supporting production infrastructure and data center networking. The role focuses on network and infrastructure operations, automation, monitoring, troubleshooting, and reliable service delivery across Linux, Windows, and AWS environments, including on-call support.
Technologies
Linux / Windows
AWS
Terraform / Ansible
Python / Bash
Monitoring and Alerting
Data Center Networking
BGP
EVPN/VXLAN
IPv6
What You'll Do
Contribute to the design, implementation, and operation of production systems and data center networks, with a focus on automation and reliability;
Develop and maintain infrastructure automation;
Collaborate with developers to resolve operational issues and provide technical guidance;
Develop and maintain monitoring and alerting solutions for infrastructure and custom applications;
Troubleshoot and resolve issues across the full technology stack;
Build, monitor, and optimize production systems;
Document system designs and application operating procedures;
Participate in on-call rotations;
Job Requirements
5+ years of experience in DevOps, infrastructure, network engineering, or a related field;
Strong hands-on experience with Linux and Windows environments;
Strong understanding of production infrastructure operations;
Experience with monitoring and alerting tools, as well as troubleshooting complex network and infrastructure issues;
Experience with data center networking, including hands-on experience with EVPN/VXLAN, strong knowledge of BGP, and understanding of IPv6;
Hands-on experience with AWS;
Experience with infrastructure-as-code and automation tools such as Terraform and Ansible;
Scripting experience with Python and/or Bash;
Willingness to participate in Pager Duty;
English level B1 or higher;
Nice To Have
Experience with SNMP, Grafana, Graphite, or PagerDuty;
Experience with GitLab, Jira, and Confluence;
Experience with Cisco ACI;
Experience with virtualization technologies such as VMware or KVM;
Experience with OpenStack, CloudStack, or OpenNebula networking;
Experience with network and security equipment from vendors such as Check Point, Fortinet, Juniper, Cisco, Huawei, or HPE;
Experience with MPLS, Multicast, DMVPN, FC/FCoE, or RIPE DB;
Network or cloud certifications such as CCNA, CCNP, Check Point CCSA, AWS, or Terraform certifications;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Задачи:
— Разрабатывать и поддерживать масштабируемые сервисы ML-моделей, оптимизируя их производительность и эффективность.
— Проектировать инфраструктуру, обеспечивающую критически важные входные данные для алгоритма диспетчеризации, влияющего на опыт миллионов клиентов по всему миру.
— Тесно сотрудничать с дата-сайентистами и инженерами для понимания их потребностей и создания масштабируемых решений.
— Разрабатывать и улучшать инструменты ML-инжиниринга для разработки моделей, мониторинга, обслуживания и экспериментов.
— Использовать облачную инфраструктуру Delivery Hero, построенную на современных технологиях и популярных облачных платформах, для создания высокодоступных систем.
— Предлагать инновационные решения и новые технологии для поддержки новых кейсов.
Требования:
— Опыт ML-инжиниринга или MLOps не менее 4 лет, знакомство с инструментами для обслуживания моделей, обучения, экспериментов и инженерии признаков.
— Опыт построения инфраструктуры для ML-пайплайнов с использованием современных инструментов и языков программирования, таких как Python.
— Значительный опыт (от 3 лет) в проектировании и реализации различных моделей машинного обучения (регрессия, классификация, ансамбли деревьев) для решения бизнес-задач, с хорошей теоретической базой в статистике и теории вероятностей.
— Опыт разработки приложений с нуля и создания быстрых прототипов для решения системных задач с использованием open-source инструментов.
— Опыт технической оценки технологий и предложений решений на основе анализа плюсов и минусов.
— Опыт глубокого анализа существующих систем для их улучшения.
— Свободное владение английским языком, четкая устная и письменная коммуникация.
— Желательно: опыт работы с ML-инструментами Metaflow, Airflow, MLflow, Argo Workflows, Cloud Notebooks.
— Желательно: знание публичных облачных платформ (AWS, Google Cloud или аналогичных).
— Желательно: опыт работы с CI/CD пайплайнами и инфраструктурой как код (Terraform или аналог).
— Желательно: знание контейнеризации и оркестрации (Docker, Kubernetes, Helm).
Условия:
— Релокация в Берлин, Германия.
— Гибридный формат работы: 2 дня в неделю в офисе на кампусе в Берлине.
— 27 дней отпуска с дополнительными днями на 2-й и 3-й год работы.
— Поддержка развития и карьерного роста: образовательный бюджет 1000 €, языковые курсы, поддержка родителей, доступ к Udemy Business.
— Медицинские обследования, медитация, спортзал.
— Программы поддержки сотрудников: план покупки акций, банк саббатикала, скидки на транспорт, страхование жизни и несчастных случаев, корпоративная пенсия.
— Питание: цифровые и обычные ваучеры на еду.
Компания Delivery Hero — одна из крупнейших технологических платформ Европы, работающая в 65 странах, штаб-квартира в Берлине, котируется на Франкфуртской бирже с 2017 года.
Location: United Kingdom; Europe; London
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Location: UK
Active DV clearance is highly preferred
In this role, you will:
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20–40% to work on-site with customers and partners
You may be a good fit if:
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a bonus if you have:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Задачи:
— Разрабатывать AI-ассистентов, чат-ботов и AI-агентов.
— Создавать многоэтапные AI-workflow.
— Интегрировать OpenAI, Anthropic и другие LLM API.
— Работать с context, memory, state и tool calling.
— Разрабатывать AI-решения для Telegram, WhatsApp и Web.
— Автоматизировать бизнес-процессы с помощью AI.
— Разрабатывать и улучшать RAG-системы.
— Работать с embeddings, semantic search, hybrid search и reranking.
— Настраивать обработку, chunking и индексацию документов.
— Работать с векторными, SQL- и NoSQL-базами данных.
— Реализовывать цитирование и проверку источников ответов.
— Разрабатывать backend на Python / FastAPI и создавать REST API.
— Работать с Pydantic и асинхронным Python.
— Интегрировать внешние API и базы данных.
— Реализовывать retry, timeout, error handling и logging.
— Контейнеризировать сервисы через Docker.
— Оптимизировать промпты и системные инструкции.
— Создавать тестовые сценарии и evals.
— Выявлять галлюцинации и проблемы с контекстом.
— Проводить регрессионное тестирование AI-функциональности.
— Сравнивать модели по качеству, скорости и стоимости.
— Контролировать token usage, latency, ошибки и расходы на LLM.
— Анализировать реальные диалоги пользователей и улучшать AI-системы.
Требования:
— От 2 лет коммерческого опыта в AI Engineering, Backend, ML Engineering или смежной технической роли.
— Уверенный Python.
— Практический опыт работы с FastAPI.
— Опыт работы с REST API, Pydantic и асинхронным Python.
— Опыт работы с Docker и Git.
— Практический опыт интеграции OpenAI, Anthropic или других LLM API.
— Опыт работы с LangChain, LangGraph или аналогичными инструментами.
— Понимание RAG, embeddings и semantic search.
— Опыт разработки AI-ассистентов, чат-ботов или AI-агентов.
— Опыт работы с SQL и/или NoSQL.
— Понимание ограничений LLM: галлюцинации, context window, latency и стоимость.
— Умение писать структурированный и поддерживаемый код.
— Способность самостоятельно разбираться в задачах и предлагать технические решения.
— Английский язык.
Будет большим плюсом:
— Qdrant, Pinecone, pgvector, Weaviate, Milvus или другие vector DB.
— Production-ready RAG.
— AI Agents и tool calling.
— Structured Outputs, JSON Schema и Function Calling.
— LLM evaluation / automated evals.
— LangSmith, Langfuse, Arize Phoenix или аналогичные инструменты.
— PostgreSQL, Redis, Elasticsearch / OpenSearch.
— CI/CD.
— AWS, GCP, Azure.
— OCR и обработка документов.
— Опыт разработки multi-tenant SaaS.
— Понимание информационной безопасности и защиты данных.
AI-инструменты в разработке:
— Claude Code
— Cursor
— GitHub Copilot
— Codex и аналоги
Ожидания на первые 3 месяца:
— Разобраться в существующей AI- и backend-архитектуре.
— Самостоятельно развивать LLM-функциональность.
— Реализовать минимум одну значимую AI-функцию от идеи до production.
— Улучшить качество, стабильность, скорость или стоимость существующих AI-сценариев.
— Настроить базовое тестирование и оценку качества AI-ответов.
— Улучшить логирование и мониторинг ключевых AI-сценариев.
Условия:
— Полная или частичная занятость.
— Формат: удалённо / гибрид.
— График: 5/2 и другие варианты.
— Рабочий день 8 часов.
— Оформление по трудовому договору.
— Остальные условия обсуждаются индивидуально с финальным кандидатом.
— Работа над production-ready AI-системами, а не только демонстрационными решениями.
Задачи:
-Планирование архитектуры приложений с использованием LLM в качестве основной технологии
-Разработка ML-бэкендов и микросервисов для обеспечения функциональности и интеграции различных сервисов
-Оптимизация текущих решений с акцентом на производительность и управление нагрузкой (onnx, openvino, tensorrt)
Требования:
-Опыт работы в роли MLE от 2-х лет
-Уверенное знание Python и опыт разработки сетевых/асинхронных приложений
-Широкая насмотренность в области LLM, RAG
-Знание Docker, CI/CD, FastAPI и SQL
Условия:
-Возможна полная или частичная удалённая работа из России
-Офисы в Москве, Краснодаре, Новосибирске
ГибридmiddleГеография найма не уточнена
London, UK
География найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
United States, San Mateo, CA
New York, NY
New York City, New York
УдалённоLisbon, Portugal; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM
УдалённоKrakow, Poland; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM
УдалённоWarsaw, Poland; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM
