Location: Japan; South Korea
About the company
Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms.
Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring.
Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps.
About the role
Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects.
Language pairs currently needed:
English <> Korean
Japanese into English
Korean <> Chinese (Simplified and Traditional)
Korean <> Japanese
Japanese <> Chinese (Simplified and Traditional)
The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads.
Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance.
Requirements
Responsibilities
Responsible for all aspects of subtitle file creation, depending on assignment, whether Conforming, Timing and Spotting, Translating or Proofreading/QC’ing of subtitle files using Pixelogic proprietary cloud based subtitling software
Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications
Handle rejections/make corrections in files
Remain current with industry trends, and adapt to evolving client requirements
Maintain the confidentiality of sensitive content.
Requirements:
Minimum of 2 years of translation and/or proofreading experience required
Attention to detail and accuracy
Must have demonstrated ability to accomplish work on a rigorous schedule (on-time delivery and flexible working hours)
Ability to follow technical / style guide for multiple client content types
Location: United Kingdom, London
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.
Job Title:
Director of Product Management
Location:
Remote
Company:
PlayStation Studios
As the Director of Product Management, you will work as part of the central Live Services team, reporting to the Head of Product Management for Live Service games at PlayStation Studios. Your primary responsibility is to work as a subject matter expert, leading a small central team collaborating with European game studios and other partners (analytics, marketing, etc.) to help build, launch, and manage successful live service games, while helping studios to build out top-notch embedded capabilities.
Responsibilities
Work across multiple live and upcoming titles from PlayStation Studios, partnering closely with game studios and other partners to build capabilities and successfully launch and manage live service titles.
Engage with game teams on everything from high-level product and commercial strategy to evaluating design specs and mockups, with a focus on product prioritization and roadmaps.
Identify opportunities for product performance growth for various titles, influence key stakeholders, and drive initiatives to a successful outcome through strong relationships.
Develop and share best practices to help game studios stand up and evolve their processes and capabilities.
Define product strategy frameworks and standards for live service titles, tailoring approaches to the needs of individual games and studios.
Define and evolve core KPIs in partnership with other publishing resources (analytics, research, marketing, etc), ensuring consistent measurement and actionable insights across titles.
Establish and evolve live service operating rhythms (goal setting, performance reviews, experimentation, roadmap planning, decision trees) across titles.
Partner with finance and forecasting teams to refine revenue models, ensuring assumptions align with product strategy and core KPIs.
Manage, develop, and grow a small team of product management and live service design talent, leading and inspiring a highly skilled team.
Connect development teams across PlayStation studios to the latest competitive research, analyze industry trends, and define best practices.
Function as a conduit between multiple studios to foster knowledge sharing and deeper collaboration.
Help define the processes and methodologies used centrally to level up our product management craft and improve the way we build and operate live service games.
Qualifications & Skills
Strong experience in product management and/or live service design focused on feature development and live operations.
Proven track record working in complex, matrixed development/publishing organizations to deliver outsized results on successful live games.
Seasoned people leader with an ability to manage, lead and inspire a highly skilled team.
Demonstrated track record of success driving initiatives that positively impact core KPIs.
Expert data fluency and track record of partnering with analytics, research, and insights groups.
Experience with game economy and/or monetization modeling and experience with analytical tools (e.g. Looker, Tableau, etc.).
Diverse development experience spanning different types of games, genres, and business models (F2P, paid, cosmetic economy, etc.).
Expert ability to connect creative vision, analytics, and business goals – turning data into actionable product and design decisions.
Deep understanding of industry trends and the competitive landscape, including player motivations and audience segments across genres.
Ability to understand, conceptualize, and improve the design of game systems, features, and mechanics, providing recommendations to shape the direction of the product.
Experience working across products at different development stages (incubation, live operations, etc.).
Strong business and financial acumen, with experience driving revenue forecasting and KPI frameworks for live service products.
Experience working with publishing partners (marketing, release management, store, etc.).
Experience partnering with leadership/executives at a studio and publishing level.
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: Kazakhstan; Mongolia; China; Russia
About the company
Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms.
Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring.
Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps.
About the role
Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Kazakh subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects.
The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads.
Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance.
Requirements
Responsibilities
Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software
Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications
Handle rejections/make corrections in files
Remain current with industry trends, and adapt to evolving client requirements
Maintain the confidentiality of sensitive content.
Requirements:
Native speaker of Kazakh with a strong command of English
Familiarity with additional languages is a valuable plus
At least 2 years of experience in subtitling translation and/or proofreading is essential
Exceptional attention to detail and commitment to accuracy
Proven track record of meeting tight deadlines with flexibility in working hours
Skilled at adhering to technical guidelines and style guides across diverse client content
Location: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: London
Workplace: Hybrid
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: London
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
RESPONSIBILITIES:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR:
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
NICE-TO-HAVE:
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS:
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Location: India
About the company
Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms.
Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring.
Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps.
About the role
Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Odia/Oriya, Gujarati and Kannada subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects.
The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads.
Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance.
Requirements
Responsibilities
Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software
Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications
Handle rejections/make corrections in files
Remain current with industry trends, and adapt to evolving client requirements
Maintain the confidentiality of sensitive content.
Requirements:
Native speaker of Odia/Oriya, Gujarati, or Kannada with a strong command of English
Familiarity with additional languages is a valuable plus
At least 2 years of experience in subtitling translation and/or proofreading is essential
Exceptional attention to detail and commitment to accuracy
Proven track record of meeting tight deadlines with flexibility in working hours
Skilled at adhering to technical guidelines and style guides across diverse client content
Location: London, Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
We’re looking for a Senior Technical Product Manager to join our Health Records & Virtual Clinics team. This team is building the foundational infrastructure that powers Flo’s next generation of personalised healthcare experiences. Our mission is to integrate diverse health data sources, from clinical systems and external vendors to user-reported data, including data from wearables directly or via Health Connect/HealthKit into a unified, reliable, and actionable health record. This foundation will enable a new Virtual Clinics direction, delivering personalised, data-driven care journeys at scale.
While this is a deeply technical and data-heavy area, we believe that the true value of health data is unlocked through intuitive, trustworthy, and beautifully designed user experiences. You will partner closely with product design to ensure complex, fragmented health data is translated into clear, intuitive, and user-friendly experiences.
Your Experience
Must have:
7+ years of experience in product management, including experience in platform, data, or infrastructure products
Strong technical background, with experience working on APIs, data pipelines, or distributed systems
Experience integrating third-party vendors, APIs, or complex ecosystems (healthcare experience is a strong plus)
Solid understanding of data modeling, data quality challenges, and trade-offs in building scalable data platforms
Proven passion for building high-quality user experiences, with a track record of partnering closely with design to ship intuitive and elegant products
Ability to translate complex technical systems and data into simple, user-friendly interfaces and flows
Experience working in regulated environments and collaborating with clinical, legal, privacy, and security stakeholders
Proven ability to define and deliver products in ambiguous, fast-moving environments
Strong analytical mindset, with experience defining and tracking metrics for platform/data products
Track record of iterative delivery and experimentation, even within complex technical domains
Excellent stakeholder management and communication skills, with the ability to align cross-functional teams around complex initiatives
Passion for building impactful healthcare products and improving user outcomes through data
What you'll be doing
You'll be responsible for:
Define and execute the product strategy and roadmap for Health Records and data integrations, enabling scalable and secure ingestion of data from multiple vendors and systems
Own the end-to-end lifecycle of health data: from ingestion and normalization to enrichment and activation in downstream experiences
Lead the development of a unified health data model that supports personalised user experiences, clinical use cases, and Virtual Clinics services
Partner with design team to creation of best-in-class UI/UX patterns for surfacing health insights, longitudinal records, and care journeys
Ensure that health data is presented in a way that is actionable, empathetic, and clinically responsible, balancing simplicity with accuracy
Partner closely with Engineering, Data, Clinical, and Legal teams to ensure data accuracy, regulatory compliance, and user privacy. Own the creation of well-scoped product and technical specifications, and actively participate in technical trade-off discussions. Given the tech- and infrastructure-heavy nature of the team, operate as a deeply embedded partner within the squad, not just a stakeholder, contributing to architecture-level decisions and day-to-day execution
Drive vendor integration strategy, including prioritisation, evaluation, and long-term partnership management
Collaborate with AI Platform team to ensure high-quality structured data is available for models and personalised insights
Balance speed and scalability, making high-judgment trade-offs across infrastructure, data quality, and user-facing impact
Establish metrics to evaluate data quality, coverage, and downstream impact on user outcomes and business goals
Stay on top of industry trends in digital health, interoperability, and virtual care, as well as evolving UX patterns in consumer health products
#LI-Hybrid #LI-AJ1
Salary Range - London - gross per year (ranges may vary based on skills and experience)
£91,000
—
£117,000 GBP
Salary Range - Vilnius - gross per month (ranges may vary based on skills and experience)
€7.000
—
€8.500 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: London
Workplace: Hybrid
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires.
Location & work mode
This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 3 days per week (Mondays, Tuesdays, Thursdays), with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region.
What You’ll Do
- Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact.
- Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns.
- Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture reviews, and integration workshops that remove deal risk and accelerate time to close.
- Design and execute migrations and implementation plans that set customers up for long-term success; provide clear handoffs to post-sale teams (context, decisions, risks, and next steps).
- Build and maintain realistic, scalable demo environments and reference configurations that mirror enterprise workflows and enable Sales to tell a credible, repeatable story.
- Codify lifecycle playbooks and enablement: create technical training for sales and post-sale teams, curate exemplars, and continuously improve the technical sales motion.
What We’re Looking For
- 5+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals.
- Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations
- Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives
- Experience with Github and git; Linear and/or Jira strongly preferred
- Proven ability to build realistic, scalable demo environments and troubleshoot production issues
- CS degree or engineering background strongly preferred
- Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams
- Comfort with SQL and scripting (e.g., Python or JavaScript)
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
Learn how we think and work:
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- A story about our mission: Read Me https://linear.app/readme
- A video series: Conversations on Quality https://linear.app/quality
- Karri’s Every interview: Most SaaS Companies Got AI Wrong. Linear Waited. https://www.youtube.com/watch?v=8QcW9-dal0g
- Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Location: London
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the London office.
Responsibilities:
- Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
- Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
- Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
- Support deployment and monitoring of search and ranking models in a scalable and performant way.
- Help build and iterate on RAG pipelines for grounding and answer generation.
- Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
- Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
- Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
- Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
- Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
- Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
- Experience with Rust will be a plus
Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
We’re looking for a Principal Engineer to join the ML Platform team at Synthesia.
Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort.
We’re looking for a strong generalist with a systems mindset:
- someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
- this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments.
This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it.
WHAT YOU’LL DO
- Design and improve the platform systems that support model training, evaluation, and production serving.
- Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
- Develop internal tools and workflows that are easy to operate both by humans and by agents.
- Work on the architecture behind how models are deployed, served, and operated across research and product environments.
- Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.
- Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers.
- Drive improvements across observability, automation, reliability, and developer experience.
- Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities.
- Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.
YOU’LL THRIVE IN THIS ROLE IF YOU HAVE
- Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
- A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
- Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
- Experience with Kubernetes and operating distributed workloads in production.
- Strong coding skills, ideally in Python or similar languages used for backend systems and tooling.
- Strong judgment around where automation adds leverage, and where human control and reliability matter most.
- Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers.
- Comfort working in ambiguous environments and taking ownership of open-ended technical problems.
- A pragmatic approach: you care about solving the right problem well, not over-engineering.
PARTICULARLY RELEVANT EXPERIENCE
- Operating ML infrastructure or model serving systems in production.
- Supporting research or data-intensive workloads.
- Working with GPU-based systems or other performance-sensitive infrastructure.
- Experience with observability and debugging in distributed systems.
- Familiarity with Terraform, Datadog, GitHub Actions, or similar tools.
BONUS POINTS FOR
- Experience building agentic or LLM-powered internal tools.
- Experience with workflow orchestration systems such as Temporal.
- Experience working at the boundary between research and production engineering.
- Familiarity with performance optimization, scheduling, or resource allocation problems.
- Experience building lightweight product or developer-facing tools.
Location: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by over 30,000 global businesses, Fin is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
What’s the opportunity?
We’re hiring an
Engineering Manager
for our
AI Models Infrastructure Team
in the
AI Group
. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models.
This is a
highly technical EM role
- you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge.
Learn more about Fin's engineering culture at
intercom.engineering
, and more about Fin at
fin.ai
.
What will I be doing?
You will:
Lead a high-performing team
building the platform and infrastructure that power Fin's AI capabilities.
Magnify the team’s effectiveness
, whether that means removing impediments, or finding ways to accelerate their progress.
Support teams of ML Scientists and Engineers
building AI powered capabilities
.
Plan, prioritize, and deliver
high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
Empower the engineers on the team to act with agency and maximize their impact.
Expand your scope over time
, potentially taking ownership of additional platform domains as the team and AI initiatives grow.
What skills do I need?
You must have:
Experience leading infra or platform teams.
Strong prior experience working as an engineer.
Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
Curiosity and enthusiasm for AI.
Experience training ML models and operating them in production at scale is a significant advantage, but not a hard requirement. We will invest in EMs with a deep technical background, and a strong appetite to learn the domain.
Nice to have
Experience training ML models and operating them in production, at scale.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The Partner team at Vercel is charged with accelerating our growth with partners. As a Partner Lead, EMEA, you will play a pivotal role in helping to establish and grow our partner ecosystem with Technology and Solution partners.
This is a senior individual contributor role for a builder. You will define the strategy, activate priority partners, and generate meaningful partner-sourced and partner-influenced pipeline. You’ll work cross-functionally across Sales, Marketing, Product, and Leadership to establish Vercel as a strategic platform within the EMEA ecosystem.
If you are energized by creating net-new revenue streams, shaping GTM strategy with partners, and turning early-stage relationships into scaled growth engines, this role is for you.
What you'll do
Build and Scale the EMEA Partner Ecosystem
Define and execute Vercel’s regional partner strategy across EMEA-wide Technology and Solution partners.
Identify, recruit, and activate high-impact regional and global partners, including regional GSIs and strategic ISVs at the regional level.
Establish scalable engagement models and joint value propositions that drive measurable pipeline and revenue.
Drive Partner-Sourced & Influenced Revenue
Develop joint GTM plans with partners to generate partner-sourced and partner-influenced pipeline.
Lead co-sell motions, account mapping, and opportunity acceleration in partnership with regional Sales leaders.
Own revenue targets tied to partner performance and ecosystem contribution.
Develop Strategic Relationships
Build executive-level relationships with alliance leaders, practice heads, and GTM stakeholders.
Serve as the primary point of accountability for strategic partner success in EMEA. Align partner objectives with Vercel’s growth priorities.
Solution & Offering Development
Collaborate with Solution partners to package and bring Vercel’s AI Cloud and frontend platform offerings to market.
Identify repeatable use cases, industry plays, and reference architectures that unlock scale.
Provide structured feedback to Product and Marketing based on regional partner and customer insights.
Enablement & Ecosystem Activation
Lead partner enablement initiatives to ensure technical, sales, and marketing readiness.
Equip partners with messaging, positioning, and use-case clarity to successfully sell Vercel.
Represent the EMEA partner voice internally and ensure alignment across teams.
What you need
7+ years in business development, partner management, and/or sales roles at a high-growth tech company.
Proven track record of building partner-sourced pipeline from zero to multi-million-dollar impact.
Strong understanding of frontend technologies, cloud infrastructure, and AI development ecosystems.
Existing EMEA partner network (agencies, GSIs, hyperscalers, technology partners) that you can activate.
Experience driving co-sell motions and working closely with regional sales teams.
Executive presence with the ability to influence senior stakeholders internally and externally.
Highly collaborative, action-oriented, and motivated by exceeding ambitious growth targets.
Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The London salary range for this role is £135,000 - £165,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco; Remote (United States); London; Belgrade; New York City
Workplace: Hybrid
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation.
Responsibilities
- Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces
- Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services
- Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries
- Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing
- Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team
- Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures
- Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations
- Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment
- Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy
Qualifications
- 5+ years of hands-on experience in offensive security, red teaming, or penetration testing
- Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security
- Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments
- Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits
- Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them
- Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives
- Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities
- Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions
Location: United Kingdom, London
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.
About the Advanced Technology Group
The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies.
What you’ll be doing
You will be working on the current and future rendering APIs used by PlayStation games, as well as the hardware underpinning them.
You will design and implement features that enable efficient game development, push GPU programming forward, and create a healthy platform.
You will observe industry trends, understanding of – and empathy for – our customers, and business needs as the foundation of your decision making.
You will help shape the path of the PlayStation graphics stack going forward.
You will collaborate with the platform software and hardware teams, as well as game developers.
You will often take the role as the game-developer advocate when working with the platform teams, or the role as the platform-team advocate when working with game developers.
This is a senior position at the core of PlayStation GPU technology
with an
unusual
degree of
influence
on
future of
console
graphics
-programming
. ATG is granted a high degree of trust and autonomy in shaping the graphics software stack and we are looking for people who are passionate about carrying this forward. You will not be spending your time in committee meetings or writing endless proposals, this is very much an engineering role where your primary role is to determine what needs to be implemented, how best to implement it and to then sit down, code, debug. We believe that this practical focus is crucial in building up the skill, experience, and insight required to make the large-scale and long-term decisions we have been entrusted with.
What we are looking for
Experience and interest in low-level graphics architecture and engineering.
Experience writing rendering code on top of multiple existing rendering APIs.
Experience writing rendering code on console.
The ability to keep an eye on the big picture, even when deep in the weeds.
An eagerness to learn and to take responsibility for the long run.
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: London
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We’re looking for Staff Product Engineers that can solve our hardest technical problems, both individually and through technical leadership. You’ll design and build software that creates delightful, groundbreaking user experiences. You’ll play a key role in growing the talent in our engineering organization through mentoring, coaching and hiring, and you’ll resolve our most tricky product issues through an understanding of what’s important to our users and business.
WHAT YOU'LL DO
- Provide technical leadership for a critical part of Attio’s engineering organization. You’ll work across teams to design significant parts of our infrastructure, aligning with Attio’s overall technical strategy. You’ll hold a high bar for the output of the teams you work with, ensuring that Attio executes both quickly and with quality.
- Raise the bar on how we build and operate software. You’ll be part of a technical leadership group that sets standards for how we build and operate software at Attio, ensuring that we strive to build robust and maintainable systems that are reliable, scalable and secure.
- Grow our engineering talent. You’ll mentor and coach the engineers you work with, and help ensure we hire the best talent for Attio. You’ll share your knowledge and growth mindset with the team, and be open to new approaches and experiments as software engineering evolves in the age of AI.
- Deliver for the business. You’ll always look to optimize for Attio’s business, ensuring that we make the right trade-offs between delivery and perfection. You’ll strive to understand our customers and users so you can deliver the experiences which are uniquely valuable to them.
WHAT YOU'LL BRING
- First-class technical skills. First and foremost, you’ll be an excellent technical executor, with an ability to think in systems, not just crank out code. You’ll understand the world of distributed, cloud-native systems, and intuitively create the right interfaces to allow teams to innovate in parallel.
- Proven technical leadership credentials. You’ll have a track record of not just personal execution, but of delivering projects through others. You’ll be able to break down large, complex problems into smaller, independent goals that others can own. You’ll understand how technical architecture impacts ability to deliver, and to maintain systems for the long term, and be sensitive to the need to pick the right compromise.
- A growth mindset. Software engineering is changing rapidly in the age of AI, and you’ll understand the need to be open-minded and to experiment. You’ll be keen to teach, and to learn from the experience of others. You’ll relish the challenge of working in an area that’s new to you, and enjoy the discomfort that leads to personal growth.
- A passion for growing the skills of others. As you deliver projects through your technical leadership, you’ll be keen to grow the next generation of technical leaders. You’ll have demonstrated impact through mentoring and coaching, and be able to flex your style depending on the needs of your colleagues. You’ll also be passionate about hiring the right talent for Attio.
- A focus on the product and customer. You’ll have strong opinions on what makes a great product, and a keen desire to deliver the things which generate value for Attio’s customers. You’ll be curious to learn about how our product is used in the field, and have an understanding of how to use data to ensure we’re building the right thing.
WHAT WE OFFER
- Competitive salary : £135K- 170K
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- [In the UK] Private medical insurance through AXA
- [In the UK] Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
Location: United States; Canada
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!
Why this role?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on.
As a Lead Data Scientist, you will:
- Drive the mission forward.
- Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.
- Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.
- Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work.
- Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production.
- Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.
You may be a good fit, if you have:
- Strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling
- A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match
- Experience leading analytics or data science teams, with a track record of making smart people faster
- Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)
- Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
- Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative
- A leadership style grounded in empathy as much as in data
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.
United Kingdom, London
УдалённоKazakhstan; Mongolia; China; Russia
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.
