Location: Canada, Waterloo, ON
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.
SDET Contractor
We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems.
The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient.
Responsibilities
Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations.
Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing.
Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria.
Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle.
Integrate automated testing into CI/CD pipelines and establish effective quality gates.
Partner with Software Engineers, Product Managers, and other QE teams to improve testability, observability, and overall product quality.
Analyze defects and production issues to identify root causes, testing gaps, and opportunities for continuous QE improvement.
Establish quality metrics and provide visibility into test coverage, reliability, defects, and release readiness.
What You'll Do
Test Agentic AI workflows, including multi-step execution, tool selection and invocation, task completion, and failure handling.
Validate AI-generated responses using appropriate measures for accuracy, relevance, groundedness, consistency, and adherence to expected behavior.
Test AI guardrails, unexpected inputs, and failure scenarios, including incorrect tool usage and prompt-based attacks.
Validate interactions between AI agents, APIs, tools, data sources, and downstream services.
Develop reusable automation, test data, and evaluation scenarios for repeatable AI and services testing.
Validate API contracts, schemas, authentication, business rules, error handling, and service integrations.
Investigate failures across distributed systems and distinguish application, integration, environmental, automation, and AI-related issues.
Participate in defect triage, root-cause analysis, regression testing, and release-readiness activities.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
4+ years of experience in Software Development Engineering in Test, Quality Engineering, Software Engineering, or a related discipline.
Strong experience testing REST APIs, backend services, microservices, or distributed systems.
Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language.
Experience with functional, integration, regression, contract, and end-to-end testing.
Experience integrating automated tests into CI/CD pipelines.
Strong analytical, debugging, and root-cause-analysis skills.
Experience working in an Agile development environment and collaborating across engineering teams.
Required Skills
Strong understanding of software testing methodologies and Quality Engineering practices.
Strong API and services testing experience, including REST, JSON, schemas, authentication, and error handling.
Experience designing and maintaining automated test frameworks.
Experience with Git and CI/CD development workflows.
Ability to develop risk-based test strategies and identify appropriate testing layers.
Experience testing distributed systems and service-to-service integrations.
Hands-on experience testing Generative AI, LLM-powered applications, or Agentic AI systems.
Understanding of testing non-deterministic AI behavior and evaluating outputs beyond exact-match assertions.
Preferred Skills (Good to have)
Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management.
Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection.
Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies.
Experience testing RAG systems or AI agents interacting with APIs, databases, or external tools.
Experience with contract testing tools such as Pact and API specifications such as OpenAPI/Swagger.
Experience with event-driven architectures, Kafka, Docker, Kubernetes, or cloud platforms such as AWS.
Experience with performance, scalability, reliability, or resiliency testing.
Experience establishing QE metrics, quality gates, or cross-team testing standards.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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.
We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
The estimated Ontario base pay range for this role is listed below.
$51.61
—
$77.42 CAD
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: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Autonomy Engineer focused on Spatial Intelligence to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments
- Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings.
- Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra-low latency performance on edge hardware
- Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state
- Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration.
- Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap.
WHAT WE'RE LOOKING FOR
- Exceptional software engineering skills with a proven track record of shipping complex ML systems into production.
- Strong background in 3D scene understanding and the design of efficient spatial data structures.
- Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures).
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems.
- High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code.
- Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Product Manager on the Context team, you will define and build the foundation for how AI agents access, interact with, and leverage context, data, tools, platforms, and environments, to deliver powerful, scalable solutions. This role exists to bridge the gap between cutting-edge AI capabilities and real-world usability, ensuring our agents are both capable and seamlessly integrated into Mistral’s broader product ecosystem.
You’ll work at the intersection of engineering, research, design, and business, aligning stakeholders around a shared vision while driving execution from concept to launch. The impact of your work will shape how users and enterprises interact with AI, unlocking new possibilities for automation, intelligence, and efficiency.
What You Will Do
- Define and evangelize a clear product strategy for our Context & Search platform, aligning it with company goals and market opportunities.
- Lead market and UX research to identify unmet needs, competitive gaps, and emerging trends in enterprise AI.
- Own the end-to-end product lifecycle, from ideation to launch, balancing speed, quality, and user-centric design.
- Collaborate with design and research teams to create intuitive, high-impact user experiences, iteratively refined by data and feedback.
- Drive go-to-market efforts, including pricing, positioning, and adoption strategies, in partnership with marketing and sales.
- Align engineering, design, and business teams around priorities, trade-offs, and timelines to ensure seamless execution.
- Maintain a dynamic roadmap that delivers quick wins while advancing long-term strategic bets.
What We're Looking For
- 5+ years of hands-on Product Management experience, preferably with a focus on Agentic AI, Context Engineering, Data platforms, MCP/Connectors, Search, Ontology and semantic layers in B2B/Enterprise environments.
- Strong technical fluency to navigate trade-offs and collaborate effectively with engineering teams.
- A relentless focus on solving real user problems, backed by data and qualitative insights.
- Proven ability to align and inspire cross-functional teams—engineering, design, and go-to-market—without direct authority.
- Exceptional communication skills, with the ability to craft compelling narratives for executives, teams, and users.
- Adaptability to thrive in dynamic environments where priorities shift rapidly.
- Low ego, high EQ, and a collaborative mindset to build trust and drive decisions through clarity.
- A builder’s mindset, with experience turning 0→1 ideas into products users love, and the autonomy to own outcomes end-to-end.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Barcelona, Spain; Mataró, Spain; Castelldefels, Spain; Cerdanyola del Vallès, Spain; Sant Cugat del Vallès, Spain; Terrassa, Spain
Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a
Data Enablement Engineer
to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible.
This is a
data platform engineering role
, not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models.
What You'll Do
Design and build
AI-ready data products
on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment
Implement
semantic layers
and governed datasets that support both traditional BI consumption and natural-language querying by business users
Deploy and operate
Databricks Genie spaces
with Unity Catalog, tuning them for accuracy, adoption, and business relevance
Build
RAG pipelines and conversational analytics applications
grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL
Engineer robust ETL/ELT pipelines (dbt, Airflow, Snowpark, PySpark) that produce and maintain the trusted data these AI experiences depend on
Implement
data governance
— RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment
Optimize
cost and performance
on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing)
Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust
Requirements
Must-Have Experience
5+ years hands-on data engineering
on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only
Direct hands-on experience with Databricks Genie
— you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models)
Semantic layer / trusted data product delivery
— you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment
dbt, PySpark, Snowpark, SQL, Python
— strong across the modern data stack
Orchestration
with Airflow, Databricks Workflows, or equivalent
Data governance in regulated environments
— RBAC, RLS, masking, lineage, auditability
Experience integrating
structured and unstructured data
(PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows
Nice to Have
Pharma, life sciences, or regulated financial services domain experience
Veeva CRM, IQVIA, SAP, or clinical data source integration
Streamlit or Databricks Apps for business-facing analytics
Databricks Data Engineer Professional certification
LangChain, LlamaIndex, or equivalent RAG frameworks
Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions
What We're NOT Looking For
Data Scientists
— this role is not model training, fine-tuning, LoRA/RLHF, or ML research
Pure Data Engineers
who list Cortex or Genie as a skill but haven't shipped it in production
AI/GenAI engineers
whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation
Computer vision, NLP model builders, or multi-agent orchestration specialists
— wrong shape for this role
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Own frontend across product and marketing surfaces: You will work across both our core product interface and customer-facing web pages, ensuring a cohesive, polished user experience across all touch points. This includes building features in the web app and also collaborating on our website to keep branding and user experience consistent and high-quality.
- Build content infrastructure that unblocks the team: You'll develop our CMS (we use Sanity) to give content and marketing teams self-serve tooling, structured content models, and preview/staging workflows, so routine changes don't depend on engineering. You'll design content schemas and editing experiences that let non-engineers move quickly and confidently.
- Champion growth: You'll partner with marketing, sales, and operations to implement analytics and enable experimentation, turning business goals into shipped, instrumented features so we always know what's actually working.
- Make localization first-class: You'll support localization and internationalization — multilingual content, translation workflows, and the infrastructure behind them, so non-English experiences are genuinely first-class rather than afterthoughts.
- Treat performance as a feature: You'll own Core Web Vitals, media and asset optimization, and the diagnosis of the subtle issues: layout shift, lazy-loading, video quality, render timing. You care about speed, and you measure it.
- Hold a high bar for accessibility: You'll champion semantic markup, keyboard navigation, screen-reader support, and WCAG-minded component design, ensuring the site is usable by everyone who visits it.
WHAT YOU'LL BRING
- Marketing and growth fluency: You've worked on marketing or growth-facing web before, and you understand the business context — funnels, conversion, SEO, analytics, and A/B testing—not just the code. We care about this more than years of experience or exact seniority.
- Strong frontend fundamentals: You're fluent in modern JavaScript and TypeScript and React (or a similar framework), with a real sense for UI/UX craft and an instinct for getting the small details right.
- A genuine commitment to performance and accessibility: You care about both deeply and can point to specific, concrete things you've done to improve them in production.
- Comfort with structured content: You've worked with a headless CMS and structured content models before. Sanity experience is a plus.
- Strong cross-functional collaboration: You work well with non-engineers — designers, content writers, and marketers — and can translate their goals into technical work, and technical tradeoffs back into terms they can act on.
Even better...
- Localization and i18n experience: You've worked with internationalization systems and translation tooling before.
- Analytics and experimentation depth: You're familiar with web analytics and experimentation platforms and know how to use them to drive decisions.
- Third-party integration experience: You've integrated services like video hosting or error monitoring into a content workflow.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Semantics Innovations — технологическая IT-компания, которая специализируется на разработке, тестировании и внедрении программного обеспечения для цифровой экономики и финансового сектора.
Офис в Астане, Казахстан.
Location: Barcelona, Spain; Sant Cugat del Vallès, Spain; Zaragoza, Spain; Girona, Spain; Reus, Spain; València, Spain
Location:
Barcelona (Hybrid / Flexible)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a high-caliber
Forward Deployment Engineer (FDE)
to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI.
Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership.
Key Responsibilities
End-to-End AI Application Prototyping & Delivery
Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement.
Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback.
Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products.
Agentic Systems & LLM Engineering
Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models).
Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation.
Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline.
Enterprise Data & Regulated Integration
Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP).
Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs.
Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one.
Strategic Stakeholder Advisory & Pattern Extraction
Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps.
Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment.
Requirements
Experience & Mindset
Experience:
5+ years of hands-on software development and full-stack AI application deployment.
Product-Shaped Builder:
Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4.
Ambiguity Tolerance:
Proven ability to navigate vague business problems without predefined specifications.
Stakeholder Communication:
Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts.
Must-Have Technical Stack
Languages & Frameworks:
Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React).
AI Platforms:
Direct hands-on experience with
Databricks Genie
.
LLM Engineering:
Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses.
Cloud & DevOps:
Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.).
Domain Competency (Finance Focus)
Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital).
Nice-to-Haves & Certifications
Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic).
Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance.
Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials).
Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102).
What This Role Is NOT
Not a pure Data Scientist or ML Researcher:
You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems.
Not a non-coding Architect:
This is a 100% hands-on builder role.
Not a pure Backend or MLOps Engineer:
You must be comfortable owning the user-facing interface and direct business interaction.
Location: New York, New York, United States
About the Role
iCapital is looking to hire a Data Engineering Senior Vice President, to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy.
Responsibilities
Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem.
Establish standards for data engineering, governance, security, observability, quality, and documentation.
Own platform reliability, SLAs, DataOps practices, and incident management.
Lead architectural strategy, tooling decisions, and platform investment recommendations.
Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities.
Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities.
Build business cases for platform investments and proactively address technical debt and future scalability needs.
Partner with business and technology leaders to deliver data products that support enterprise objectives.
Communicate platform progress, risks, and investment decisions to executive stakeholders.
Build and lead a high-performing Data Engineering organization and culture.
Qualifications
12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions
Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization
Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support
Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes
Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact
Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt
Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements
Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale
Knowledge of alternative investments, wealth management, fund administration, or related financial services domains
Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures
Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms
Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development
Benefits
The base salary range for this role is $200,000 to $250,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Задачи:
— тестирование ETL / data pipelines
— валидация данных по цепочке source → warehouse → semantic model
— проверка aggregations, measures и business rules
— тестирование BI / analytical solutions
— regression testing
Требования:
— 3–5+ лет в QA, желательно Data / BI
— сильные знания SQL
— опыт тестирования ETL / data pipelines
— понимание dimensional data models
— опыт работы с Jira / Azure DevOps
— будет плюсом опыт с SSAS Tabular / Power BI DAX
— опыт автоматизированного тестирования данных на Python
— опыт работы с Azure / Microsoft Fabric
— опыт в страховой или финансовой сфере
Условия:
— работа в офисе в Омане с обязательной релокацией
— зарплата $4,500–5,500 в месяц
Ищем по профилям Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic.
This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.
Key responsibilities
Data Infrastructure & Modeling
Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company
Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance
Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
Ensure appropriate data access controls including row and column-level security for sensitive candidate data
Pipeline Development & Integration
Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools
Create reliable data flows that handle both real-time needs and batch processing requirements
Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness
Automate data quality checks and validation across all pipelines
Analytics Engineering & Modeling
Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users
Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement
Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company
Minimum qualifications
Are an expert in BigQuery including optimization and partitioning
Have built dimensional models and understand slowly changing dimensions
Are proficient in SQL, Python, and modern tools like dbt and Fivetran
Have implemented data security and privacy controls in cloud warehouses
Can translate HR concepts into scalable data models
Communicate effectively with both technical and business stakeholders
Preferred qualifications
Have 5+ years in data engineering
Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
Experience with building semantic layers for data agents
Experience building data pipelines for survey data and text analytics
Knowledge of graph databases or network analysis libraries
Background in privacy-enhancing technologies or sensitive data handling
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with workforce planning and predictive analytics use cases
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Тестирование ETL / data pipelines
— Валидация данных по цепочке source → warehouse → semantic model → report
— Проверка aggregations, measures и business rules
— Тестирование BI / analytical solutions
— Regression testing
Требования:
— 3–5+ лет в QA, желательно Data / BI
— Strong SQL
— Опыт тестирования ETL / data pipelines
— Валидация данных по цепочке source → warehouse → semantic model → report
— Проверка aggregations, measures и business rules
— Опыт тестирования BI / analytical solutions
— Regression testing
— Jira / Azure DevOps
— Понимание dimensional data models
Будет большим плюсом:
— SSAS Tabular / Power BI
— DAX
— Automated data testing
— Python
— Azure / Microsoft Fabric
— Опыт в insurance / financial services
Ищем по профилям:
Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA
Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle.
Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work.
The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on.
This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security.
What you'll do
Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon.
Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow.
Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation.
Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com.
Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product
Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each.
Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product.
Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration.
Work across the whole platform on different projects, features and teams. This reaches across:
Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees.
Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows.
Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do.
Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review.
Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member.
What you'll bring
8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership.
Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it.
Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load.
A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition.
Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf.
Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous.
Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority.
Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans.
Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization.
About the team
The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$250,000
—
$325,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Задачи:
— Обеспечение CI/CD-цикла по всем требованиям Банка на проекте АС AI HUB Блока Строительство;
— Взаимодействие с разработчиками для оптимизации процессов сборки, развертывания и тестирования ПО;
— Автоматизация процессов управления конфигурациями;
— Соблюдение требований технических стандартов и метрик по всем вверенным системам;
— Участие в формировании жизненного цикла системы, оптимизация производственного процесса;
— Мониторинг и улучшение производительности систем, обеспечение отказоустойчивости и масштабируемости инфраструктурных компонентов;
— Диагностика и устранение критичных сбоев и неполадок, работа над предотвращением ошибок;
— Внедрение современного технологического стека, пилотирование перспективных решений (в т.ч. GenAI) в периметре ДИТ.
Требования:
— Готовность к офисному формату работы;
— Знания сетевых технологий, протоколов;
— Знания операционных систем Linux семейства RHEL;
— Опыт администрирования СУБД PostgreSQL, как дополнительный плюс знания СУБД ClickHouse, Opensearch, Apache Ignite, Redis;
— Понимание принципов работы векторных поисковиков (Qdrant, Pinecone, Weaviate и др.);
— Опыт работы с современными методами работы с информацией (Retrieval-Augmented Generation, Semantic Search);
— Знания систем контроля версий, в частности git. Знание методологий ветвления GitFlow, Trunk Based Development, а также методологии GitOps;
— Опыт работы с ArgoCD, Jenkins, SonarQube, Hashicorp Vault, Apache Superset;
— Опыт работы с Docker, Docker-compose, Kubernetes, как дополнительный плюс работы с Istio и EnvoyProxy;
— Опыт работы с Jira и подобными инструментами.
Условия:
— Офисный формат работы (г. Москва, ш Варшавское Бизнес-центр Чайка Плаза, 25Астр6);
— Льготные ипотечные условия кредитования;
— Подписка Прайм с возможностью совместного использования на трёх близких;
— Скидки на продукты компаний – партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие;
— ДМС с первого дня и скидки на страхование для близких;
— Корпоративная пенсионная программа;
— Детский отдых и подарки за счет Компании;
— Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификации.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Sr. Principal Engineer, Data & Machine Learning
San Mateo, CA
Why PlayStation Data & Intelligence
PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company.
We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people.
This role helps shape how that is built across PlayStation.
The Role
We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence.
This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against.
This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk.
What You’ll Own
You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation:
A single, reusable understanding of the player.
The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case.
Content and game understanding.
Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences.
Creator and partner intelligence.
Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after.
Unified measurement.
Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next.
Activation.
Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act.
Semantic and conversational intelligence.
A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust.
Enterprise decision data.
Decision-grade finance and supply-chain data that accelerates transformation programs across SIE.
Trusted foundations and golden paths.
Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one.
What You’ll Do
Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management.
Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs.
Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable.
Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management.
Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production.
Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper.
Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services.
Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape.
Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning.
Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost.
Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists.
Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry.
What We’re Looking For
15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems.
A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use.
Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale.
Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations.
Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance.
Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering.
Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority.
Outstanding written communication. This role leads through documents.
Experience mentoring Staff, Principal or similarly senior technical professionals.
Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience.
Nice to Have
Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem.
Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale.
Shared data or ML platforms serving multiple products and organizational domains.
Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps.
Experience translating research or emerging technology into production capabilities.
Contributions to the field through open source, patents, publications, standards or conference talks.
Why You’ll Love This Role
Set the technical direction for data and intelligence across PlayStation.
Own the architecture behind experiences reaching more than 100 million people.
Report directly to the VP and sit on the organization’s leadership team.
Build once, reuse everywhere: the mandate is to end duplicated work, not add to it.
Work with strong Principal and Staff engineers, data scientists and product leaders across the company.
Stay hands-on at the most senior IC level.
#LI-KS1
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$304,200
—
$456,200 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Moscow, Russia; St. Petersburg, Russia; Yerevan, Armenia; Tbilisi, Georgia; Astana, Kazakhstan; Almaty, Kazakhstan
Workplace: remote
At
NOVACARD
, we’re redefining how people use credit.
We are the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and give users complete control – all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals.
Simple finances, big goals.
About the Role
We are looking for a QA Automation Engineer to own the quality of key user scenarios across the stack. In this role, you will do more than write autotests — you will build a reliable automation system that covers everything from a customer action in the Flutter mobile app to data validation in APIs, message queues, and databases.
You will work closely with developers, analysts, DevOps, and other QA engineers to ensure delivery speed and reliability of financial services. We expect an engineer who sees risks in a microservices architecture and prevents them with well-designed automated coverage. The role is fully remote, with occasional business trips if required.
Key Responsibilities
Develop, maintain, and evolve UI autotests for the Flutter mobile application (Android/iOS) using Python and Appium.
Design the automation framework architecture: implement and maintain Page Object patterns, business step layers, fixtures, and environment configurations.
Work with Flutter app locators: use Semantics labels and accessibility IDs, and align their implementation with mobile developers to improve test stability.
Ensure autotest suite stability: diagnose and eliminate flaky tests, manage waits, and configure test isolation.
Configure and maintain Allure reporting: steps, attachments such as screenshots, logs, and traffic, run history analysis, and linking autotests to test cases.
Integrate autotests into CI/CD using GitLab CI: run pipelines, set up parallel runs on emulators and real devices, and maintain acceptable execution time.
Analyze new functionality, participate in requirements review, and create test designs.
Perform functional, integration, regression, and end-to-end testing.
Test external and internal integrations, including SOAP/REST APIs, XML/JSON processing, authorization, contracts, and service interaction errors.
Analyze asynchronous processes: message queues and event buses such as Kafka and RabbitMQ, consumers, retries, idempotency, and delayed effects.
Identify cross-team dependencies during task definition and align them with related teams before development and testing begin.
Estimate testing and automation effort, maintain and expand the regression test suite.
Analyze run results, report risks, defects, and blockers in a timely manner, and prepare clear quality reporting.
Automate test data preparation: use SQL scripts, internal service APIs, emulation of external system states, and mocks.
Work confidently with databases: write medium-complexity SQL queries with joins and aggregations, validate data after user operations in MS SQL Server and/or PostgreSQL, and access databases from autotest code.
Investigate logs and metrics in monitoring systems such as Kibana, OpenSearch, and Grafana, and trace requests across services using correlation or trace IDs.
Diagnose autotest failures: identify root causes using device logs, traffic, and service logs, and file defects in the tracking system.
Key Requirements
2+ years of experience in mobile UI test automation.
5+ years of experience testing microservice-based applications.
2+ years of experience testing external integrations.
Strong Python skills: OOP, working with libraries, reading and refactoring code, writing utilities and helpers.
Hands-on experience with pytest: fixtures, parametrization, markers, conftest, and plugins.
Practical experience with Appium.
Experience automating Flutter applications or readiness to quickly learn Flutter-specific automation.
Knowledge of Git and experience integrating autotests into CI/CD.
Experience in functional testing of Android and iOS mobile applications.
Excellent knowledge of testing theory and test-design techniques.
Strong understanding of SOAP/REST API testing, XML/JSON, HTTP response codes, contract schemas, session-based and token-based authentication; experience automating API calls in Python using requests or similar libraries.
Confident SQL skills: ability to independently write medium-complexity queries, read database schemas, and validate data in MS SQL Server and/or PostgreSQL.
Understanding of asynchronous service communication: Kafka, RabbitMQ, or similar brokers, consumers, idempotency, retry mechanisms, and delayed event processing.
Experience with logging and monitoring systems such as Kibana, OpenSearch, Grafana, or similar tools.
Ability to independently prepare test data using SQL scripts, internal or service APIs, and emulation of external system states.
Fluent Russian and English at B1+ level, sufficient for technical documentation and an international team.
Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys.
Nice to Have
Experience with device farms such as BrowserStack, Sauce Labs, or local device farms, Appium Grid, and parallel execution on device pools.
Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys
Experience with Charles, Fiddler, Swagger, Postman, and SOAP UI, including proxying and mocking responses on devices.
Experience automating the API layer as a separate suite, as well as basic Postman automation and running collections via Newman.
Experience with visual testing and screenshot-based tests.
Experience in fintech or banking products: card processing, credit products, tariffs, fees, limits, card statuses, and card lifecycle management.
Experience testing BPMS processes and workflow engines such as Camunda.
Understanding of financial application security requirements: personal data handling, OTP flows, session management, and basic PCI DSS principles.
Experience setting up test infrastructure: Docker, running emulators in CI, and build caching.
Experience estimating testing tasks and working with QA quality metrics such as DDE, defect density, test coverage, autotest stability, and execution time.
What We Offer
Fully remote work format.
Official employment in accordance with the Russian Labor Code for residents of Russia; contractor collaboration for candidates from other countries.
Opportunity to work in an international team on an innovative digital credit product for the Mexican market.
A product-focused, data-driven environment where quality directly influences the financial experience of thousands of users.
The chance to work on complex mobile, backend, and integration scenarios in a rapidly growing fintech company.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
Machine Learning Engineer, Ranking & Retrieval
ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context.
Your Impact at ClickUp
You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first.
Core Responsibilities
- Train, deploy, and serve ranking models in production, owning the full ML lifecycle
- Build ranker features, training pipelines, and offline evaluation frameworks
- Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading)
- Run embedding inference at billions-of-documents scale
- Improve query understanding through intent modeling and query expansion
- Build permissions-aware retrieval that respects multi-tenant boundaries
- Create measurement frameworks to evaluate and improve search quality
- Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform
Technical Requirements
- Bachelor's degree in Computer Science, Machine Learning, or related field
- 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval
- Proven full ML lifecycle ownership: training, deploying, and serving models in production
- Hands-on ranker model training: feature engineering, pipelines, offline evaluation
- Experience building hybrid (lexical + vector) retrieval systems
- Experience running embedding inference at large scale
- Strong query understanding fundamentals: intent modeling, query expansion
Preferred Qualifications
- Permission-aware retrieval and multi-tenancy experience
- Indexing large-scale user-generated content (not small or static datasets)
- Hands-on experience with OpenSearch or Elasticsearch
- Sharding, index management, and real-time ingestion at scale
- Background in NLP, semantic search, or agentic retrieval
- Experience with TypeScript in backend systems
Join Our Mission
At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive!
#LI-REMOTE
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Atlanta, GA (Hybrid)
The Position
CallRail is looking for a
Product Manager
to join our team that supports our core integrations, public
API and webhooks products
.
This is a build role. You’ll ship net-new integrations with platforms our customers depend on — automotive and healthcare tools, scheduling systems, workflow platforms like Zapier — and you’ll deepen the ones we already have. You’ll also own the shared service and framework those integrations run on, and the developer-facing API and webhook surface that thousands of customers and partners build on top of.
The other half of the job is keeping the ecosystem healthy. Integrations break in ways ad campaigns don’t, and you’ll be the person who decides what gets fixed first. That means working shoulder to shoulder with
Support, Sales, and Marketing
— they hear about problems before dashboards do, they know which integration is blocking a deal, and they need you to tell them what’s coming and when.
This role suits a hands-on, technically fluent PM who wants to ship real integrations, cares about customer product experience, and works in an environment where AI is a daily tool rather than a talking point.
What You'll Do
Build and deepen integrations
Ship net-new core integrations — new verticals like automotive and healthcare, scheduling and workflow platforms, and the partners our roadmap calls for next.
Deepen existing integrations past MVP: fill functional gaps, expand data coverage, and make the ones customers already rely on genuinely good.
Own the shared service and framework every integration inherits — data sync, authentication, error handling, and retries — and the tooling that makes the next integration cheaper to build than the last.
Own the integrations UI and library: how customers discover, connect, configure, and troubleshoot what we’ve built.
Own the API and webhooks
Own CallRail’s public API and webhooks as a product, not a byproduct: new capabilities, versioning strategy, deprecation paths, and the developer experience around them.
Drive
parity between our API and webhooks
so developers get consistent data and behavior regardless of how they consume it.
Own API documentation, the developer dashboard, and the administration and billing experience for API access.
Define and monitor the health metrics developers actually feel — latency, error rates, rate-limit behavior, webhook delivery reliability — and act on them.
Prioritize and triage
Own the integrations bug queue. Triage incoming issues, and make the reliability work that keeps the ecosystem healthy visible and scheduled rather than invisible and endless.
Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks.
Close the loop with
Support
— build the intake path that turns ticket patterns into prioritized work, and give them the answers and workarounds they need in the meantime.
Keep
Sales
and
Marketing
ahead of the roadmap: what’s shipping, what’s fixed, what’s still broken, and what they can confidently sell and promote.
Cross-functional
Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front.
Lead discovery with customers, developers, and internal teams to validate problems before scoping solutions.
Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption.
Represent core integrations and the API in planning cycles and cross-functional initiatives.
What You'll Need
3-5 years of product management experience
, including meaningful time on integrations, APIs, developer tools, or platform-oriented work.
Background in marketing tech, communications tools, or call tracking ecosystems.
A track record of actually shipping B2B SaaS integrations end to end — not just governing a platform others built on.
Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, understand webhooks and event delivery semantics, and can scope edge cases with engineers without needing a translator.
Hands-on experience with public or partner APIs — REST, OAuth, versioning, rate limiting, pagination, and webhook reliability patterns.
Demonstrated fluency with AI tools (Claude or similar) in your actual day-to-day product work.
Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice.
Comfort with the unglamorous half of integration work: bugs, migrations, and reliability — and the judgment to prioritize it against net-new.
Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives.
Experience in Agile teams working closely with engineers and designers.
Excellent written communication. Integration decisions live or die by how well they’re documented.
Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma.
Nice to Have
Experience building or scaling a developer platform, API program, or developer portal.
Experience with vertical software ecosystems — automotive, healthcare, home services, or legal.
Experience with MCP, agent frameworks, or designing APIs intended for AI consumption.
Working With AI at CallRail
AI is core to how our product team operates, and we expect it to be core to how you operate. We use
Claude
across discovery, spec writing, data analysis, prototyping, and internal tooling, and we’re actively building AI capabilities into the product itself. In this role you will:
Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring API data, and building throwaway scripts and prototypes to answer questions faster than a meeting could.
Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster.
Think about CallRail’s platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you’ll help shape our point of view there.
Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps.
We’re looking for evidence that you’ve already changed how you work because of these tools — not just enthusiasm about them.
If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience.
Additional Perks
Healthcare (one option covered at 100% for employees), Dental & Vision Coverage
Competitive HSA with company matching
Paid parental leave
Flexible vacation policy
401K options with company dollar-for-dollar match
Employee stock options available from day one
$2,000 annual educational allowance
Catered lunch every Tuesday * an in-office perk
MARTA transportation or office parking expenses covered
Employee charitable donation company match, up to $500 annually
Regular company outings and events
Hybrid work options with $500 office stipend to set up your home office
Designated bike storage
Learn more:
https://www.callrail.com/about/
You Are Welcome Here
CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.
*** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays.
Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.
ОфисseniorUK, London
ГибридParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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.
Barcelona, Spain; Mataró, Spain; Castelldefels, Spain; Cerdanyola del Vallès, Spain; Sant Cugat del Vallès, Spain; Terrassa, Spain
ОфисSan Francisco, CA
Barcelona, Spain; Sant Cugat del Vallès, Spain; Zaragoza, Spain; Girona, Spain; Reus, Spain; València, Spain
leadNew York, New York, United States
География найма не уточнена
seniorГеография найма не уточнена
УдалённоRemote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
seniorUnited States, San Mateo, CA
УдалённоMoscow, Russia; St. Petersburg, Russia; Yerevan, Armenia; Tbilisi, Georgia; Astana, Kazakhstan; Almaty, Kazakhstan; Official employment in accordance with the Russian Labor Code for residents of Russia; contractor collaboration for candidates from other countries
УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
География найма не уточнена
Все вакансии в одном месте - страница 6 · Job Hunters
