Benefits:

• A competitive salary

• Meaningful stake in the company’s growth and success (equity share options)

• ~35 days of paid holiday per year

• Significantly enhanced parental leave

• Level 6 (highest level) dental insurance

Experience Requirements:

• Hands-on experience working on data modelling and analytics engineering using the dbt ecosystem

• Experience owning a data roadmap and delivering meaningful outcomes

• Strong product analytics capability

• Experience designing or leading statistical tests or experiments

• Practical experience implementing data governance

Other Requirements:

• Entrepreneurial mindset and can-do attitude

• AI-fluent and excited to automate/re-engineer workflows

• Strong ability to interact cross-functionally

Responsibilities:

• Own the Data roadmap and deliver quarterly plans

• Strengthen use of measurement in product processes

• Level up the metric system and decision-making across the company

• Lead the next ‘Measuring Learning’ impact evaluation

• Own responsible AI for learner data and data privacy assurance

Experience Requirements:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

Other Requirements:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

Responsibilities:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits

• Life Insurance and Disability Benefits

• Retirement Plan (pension) with Sierra match

• Parental Leave

Experience Requirements:

• 8+ years of experience in security compliance, privacy, or regulatory roles

• Deep experience with EU regulatory frameworks (GDPR, DORA, EU AI Act)

• Demonstrated ability to operate globally

• Experience engaging directly with enterprise customers

• Ability to translate evolving regulatory requirements into practices

Other Requirements:

• Comfort operating in ambiguity

• Strong written and verbal communication skills

Responsibilities:

• Primary point of accountability for customer trust enablement

• Contribute to AI Governance building guardrails for EU AI Act and ISO 42001

• Partner with Legal and Privacy to interpret regulatory requirements

• Collaborate with Engineering to ensure expectations are reflected in system design

• Translate regulatory and privacy expectations into region-aware technical controls

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits

• Life Insurance and Disability Benefits

• Retirement Plan (pension) with Sierra match

• Parental Leave

Experience Requirements:

• Experience building and scaling end-to-end production systems

• Experience building or deploying AI/LLM systems in production

• Prior experience with React, TypeScript, and/or Go

Other Requirements:

• Builder and tinkerer’s mindset with high agency

• Excellent communication skills

• Comfort working directly with customers

Responsibilities:

• Design and deliver production-grade AI agents

• Drive the Agent Development Life Cycle (ADLC)

• Partner with large enterprises and cutting-edge startups

• Build the future of the platform by surfacing unmet needs

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits

• Life Insurance and Disability Benefits

• Retirement Plan (pension) with Sierra match

• Parental Leave

Experience Requirements:

• Experience building and scaling end-to-end production systems

• Experience building or deploying AI/LLM systems in production

• Prior experience with React, TypeScript, and/or Go

Other Requirements:

• Builder and tinkerer’s mindset

• Strong technical problem-solving skills

Responsibilities:

• Design and deliver production-grade AI agents

• Drive the Agent Development Life Cycle (ADLC)

• Partner with large enterprises and startups in London

• Build the future of the platform through customer insights

Experience Requirements:

• 15+ years of progressive leadership experience in Total Rewards, Compensation, or related HR disciplines

• Experience leading global programs across multiple regions and business units

• Experience in a publicly traded, complex global organization preferred

Other Requirements:

• Strong knowledge of executive compensation governance

• Exceptional analytical skills

• Proven ability to influence at the highest levels of the organization

Responsibilities:

• Develop and lead the enterprise-wide Total Rewards strategy

• Serve as a trusted advisor to the CEO and Board of Directors

• Oversee all compensation programs, short- and long-term incentives, and equity programs

• Direct the design and administration of global benefits programs

• Lead enterprise-wide wellbeing strategies and global mobility programs

Experience Requirements:

• Creating viral content

• Managing successful creator partnership campaigns

• Analyzing and scaling performance metrics

Other Requirements:

• Provide a brief response about a growth achievement

Responsibilities:

• Manage creator partnership campaigns

• Drive and scale growth performance

Benefits:

• Medical, dental, vision benefits

• Annual wellness stipend

• Unlimited PTO

• 401(k) plan with company match

• Generous paid parental leave

Experience Requirements:

• Proven experience in a technical full-cycle sales role

• Experience building your own pipeline from scratch and closing accounts

• Consistent overachievement against sales targets in past experiences

• Strong written and verbal communication skills

• Empathy and a unique ability to understand customer needs

Other Requirements:

• Based in an EMEA time zone

• Excellent written and spoken English

• Highly organized with exceptional follow-up skills

• AI-first mindset

Responsibilities:

• Self-prospecting to build a strong sales pipeline of new logos

• Partner with Marketing and SDR teams to generate meetings

• Work closely with cross-functional teams to ensure sales effectiveness

• Articulate Deepgram’s value proposition to technical buyers

• Maintain relationships with key stakeholders and drive upsells

Benefits:

• Medical, dental, vision benefits

• Annual wellness stipend

• Unlimited PTO

• 401(k) plan with company match

• Generous paid parental leave

Experience Requirements:

• Proven experience in a technical full-cycle sales role

• Experience building your own pipeline from scratch and closing accounts

• Consistent overachievement against sales targets in past experiences

• Native-level or full professional fluency in German

• Strong written and verbal communication skills

Other Requirements:

• Based in an EMEA time zone (specifically London, UK)

• Ability to conduct complex sales conversations in German

• AI-first mindset

• Highly organized with exceptional follow-up skills

Responsibilities:

• Drive new customers and revenue in German markets

• Self-prospecting to build a strong sales pipeline of new logos

• Partner with Marketing and SDR teams to generate meetings

• Work closely with cross-functional teams

• Articulate Deepgram’s value proposition to technical buyers

Benefits:

• health insurance

• additional days off

• support for remote working expenses

• centrally located office

Experience Requirements:

• At least 3 years work of experience in Customer Success

Other Requirements:

• Fluent in English

• Analytical thinker

• Interest in UX, e-commerce, analytics or CRO

• Experience working with digital agencies is desirable

• Ability to travel as needed

Responsibilities:

• Own and nurture a portfolio of commercial customers

• Act as the main point of contact for strategic guidance

• Conduct regular business reviews (QBRs)

• Identify churn risks and implement retention strategies

• Provide technical consulting on tests and personalisation

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and learning stipend

Education Requirements:

• MBA, or other higher degree (masters or PhD) in relevant business, finance, or analytical field

Experience Requirements:

• At least 4-5 years of management consulting experience

• Work experience in data science, computer science, or math/analytics is a plus

Other Requirements:

• Commercially accountable operator with ability to deliver retention targets

• Skilled at drawing insights from raw data and running SQL analyses

• Exceptional executive-ready communicator

• Structured and disciplined in documentation

Responsibilities:

• Act as commercial owner for the end-to-end customer lifecycle

• Teach customers key AI and marketing experiment concepts

• Build business cases and ROI forecasts based on data extracted from BrazeAI

• Manage executive-level relationships as a trusted strategic partner

• Design, execute, and optimize BrazeAI use cases

Benefits:

• Hands-on experience in AI and machine learning

• Mentorship from experienced ML engineers and researchers

• Opportunity to work on real-world AI projects

• Collaborative and innovative environment

Education Requirements:

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI, or a related field

Experience Requirements:

• Reliable Python coding skills

• Knowledge and understanding of foundational deep learning concepts

• Experience with data preprocessing and model evaluation

Other Requirements:

• Familiarity with MLOps tools is a plus

• Strong analytical skills

• Ability to work in a collaborative, fast-paced environment

Responsibilities:

• Assist in training, testing, and evaluating machine learning models

• Support data collection and processing for model development

• Conduct experiments and model evaluations

• Develop and train large-scale generative models

• Implement AI techniques into production workflows

Benefits:

• Competitive salary and equity

• Skilled Worker visa sponsorship in the UK

• Real impact on model quality

• Ownership with support

• Growth in a fast-moving environment

Experience Requirements:

• Strong Python fundamentals

• Solid hands-on Kubernetes experience

• Proven track record with unstructured data, especially images

• Experience developing data-ingestion or parsing tools

• Comfort with S3/object storage

Other Requirements:

• Familiarity with ML workflows (PyTorch)

• Experience with image quality scoring, captioning, or image-to-text pipelines

• Pragmatic, detail-oriented, ownership mindset

• DevOps fluency: Docker, CI/CD, infra automation

Responsibilities:

• Develop and maintain data-ingestion pipelines for large-scale image datasets

• Own the end-to-end flow from raw data to ready-to-train artifacts

• Operate and improve Kubernetes-based data-pipeline framework

• Work with S3-style object storage for efficient layouts

• Add tooling around pipelines for observability and faster iteration

Benefits:

• Competitive salary and equity

• Opportunities for professional growth and leadership

• Collaborative, research-driven environment

• Work on cutting-edge AI projects

• Contribute to open-source AI research and publications

Experience Requirements:

• Proven experience in training large-scale generative models

• Expertise in evaluating generative models

• Strong proficiency in PyTorch

• Hands-on experience building end-to-end machine learning pipelines

• Strong software engineering skills

Other Requirements:

• Familiarity with state-of-the-art neural network architectures

Responsibilities:

• Develop and train large-scale generative models

• Design and run experiments to refine model architectures

• Analyze results and implement data-driven improvements

• Develop and deploy new features that enhance user experiences

Benefits:

• Meaningful work

• Limitless learning opportunities

• Collaboration with world-class minds

Experience Requirements:

• Strong experience with Unity development (C#), specifically for mobile platforms (iOS/Android)

• Background in the gaming industry with a portfolio demonstrating high-quality game feel and polish

• Sharp UX instincts and experience implementing complex UI/UX designs

• Experience working effectively with multi-functional team members

Other Requirements:

• Strong interest in Duolingo and our mission

• Experience embedding Unity as a library (UaaL) into native mobile applications

• Background in music, music theory, or audio programming

• Experience in web/mobile localization workflows and tools

Responsibilities:

• Implement the new music course within the Duolingo app using embedded Unity

• Productionize the existing prototype, turning it into robust, release-ready code

• Work embedded within the Duolingo app architecture to ensure seamless integration of Unity

• Collaborate with designers and product partners to refine the look and feel

• Engage in rapid prototyping to test new music mechanics and interaction models

Benefits:

• Equity / share options

• 30 days’ holiday + bank holidays

• Daily lunch provided

• Monthly team breakfasts

• Pension

Experience Requirements:

• 5+ years building and operating production infrastructure on a major cloud

• Significant hands-on experience running Kubernetes in production

• Deep experience with IaC tools (Pulumi, Terraform, CDK)

• Owned the uptime and performance of user-facing systems

• Strong scripting and programming skills

Other Requirements:

• Startup mindset

• Bias toward pragmatic solutions

• Clear communication and collaboration skills

Responsibilities:

• Own core infrastructure (Kubernetes, cloud resources)

• Build the deployment & tooling layer (CI/CD, IaC)

• Own reliability & operations (SLOs/SLIs, observability, on-call)

• Shape networking & security (VPCs, IAM, service meshes)

• Partner with product & research teams

Benefits:

• Equity / share options

• 30 days’ holiday + bank holidays

• Daily lunch provided

• Monthly socials

• Pension

Experience Requirements:

• 3–5+ years working as an ML engineer / applied scientist

• Deep proficiency with PyTorch and its distributed primitives

• Experience training models at ≥70B parameters

• Experience with SFT and RL on top of LLMs

• Strong software engineering background

Other Requirements:

• Distributed systems / training ops experience

• Data engineering instincts

• Clear communication and ownership

Responsibilities:

• Turn open-source base models into high-performance SWE agents

• Design and run large-scale training experiments

• Build and iterate on large-scale RL loops

• Operate large multi-node training jobs

• Improve evaluation for SWE models

Benefits:

• Equity / share options

• 30 days’ holiday + bank holidays

• Daily lunch provided

• Monthly team breakfasts

• Pension

Experience Requirements:

• 5+ years of experience building production-grade software

• Experience building reactive, highly interactive applications (React, Svelte, Vue)

• Experience designing and consuming REST APIs

• Experience working with developer tooling

• Strong experience with TypeScript

Other Requirements:

• Comfortable iterating quickly

• Ability to operate in a fast-moving environment

• Care deeply about developer experience

Responsibilities:

• Build end-user products (editor extensions and web applications)

• Enable developers to use advanced language models

• Collaborate closely with research to validate new experiences

• Translate emerging model capabilities into features

• Maintain high bar for performance and reliability

Benefits:

• Equity / share options

• 30 days’ holiday + bank holidays

• Daily lunch provided

• Monthly socials

• High-quality equipment

Experience Requirements:

• 5+ years of experience developing or operating core infrastructure

• Experience running large-scale orchestration systems such as Kubernetes

• Experience building abstractions and tooling on major cloud platforms

Other Requirements:

• Comfortable working in a fast-moving environment

• Values rigorous thinking and open communication

Responsibilities:

• Design and build development and production platforms

• Ensure infrastructure can scale to next order of magnitude

• Contribute to a culture of diversity and open communication

• Participate in the on-call rotation

Benefits:

• Competitive pay

• Fully remote with European off-sites

• 38 paid days off annually

• Personal development stipend

• Health insurance optionally available

Experience Requirements:

• 3+ years of experience bringing software to market

• Track record of individual achievement in Growth, Sales, or Marketing

Other Requirements:

• Working in GMT +/- 3 timezone

• Experience with AI automation

• Strong writing ability and fluency in English

• Basic coding experience

• Good design skills

Responsibilities:

• Building AI systems for scalable growth experiments

• Creating high-quality content for the AEC industry

• Designing assets for content and conferences

• Growing the AI-driven industry newsletter

• Scaling outbound email campaigns