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Location: Philippines; South Africa; Ethiopia; Egypt; Morocco; Pakistan About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Location: Remote, Job Summary We make complex things simple. In the fast-paced world of property, our mission is to make it easy for people to sell, let, buy, and finance their homes while ensuring no opportunity is missed. As a Business Development Executive, you will be the engine of our growth. You are the first point of contact for homeowners, landlords, and buyers, acting as a curious and organized consultant who uncovers needs and creates seamless pathways to their property goals. If you are a confident communicator who thrives on turning conversations into appointments, this is your opportunity to play a pivotal role in an independent agency’s success. Key Responsibilities Lead Generation: Proactively identify and create opportunities for homeowners looking to sell and landlords looking to let by mining our CRM and following up on past inquiries, expired listings, and new web leads. Appointment Setting: Qualify customer needs and book market appraisals (valuations) for the sales and lettings teams, ensuring calendars are managed efficiently. Finance & Legal Referrals: Identify customers who require mortgage, remortgage, or conveyancing services and, with their consent, introduce them to our specialist partners. Pipeline Management: Track every referral through to the final outcome, ensuring consistent follow-up and high conversion rates. Client Communication: Act as a bridge between the market and our clients by providing prompt, professional feedback to vendors and landlords regarding viewings and market activity. Data Integrity: Maintain meticulous records within our CRM system, logging every call and note to ensure data accuracy and compliance with contact preferences. Campaign Execution: Work closely with the Managing Director to run targeted outreach campaigns and report on weekly activity against KPIs. Requirements Experience in estate agency, lettings, or a dedicated sales development role. A proven track record of referring mortgage or conveyancing leads. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🧠 Ongoing training, mentorship, and sales development support

Location: South Africa Growth Specialist Codekeeper is looking for a methodical, data-driven, and proactive Growth Specialist to accelerate our global expansion. You bring a strong command of modern web marketing strategies - including inbound and outbound campaigns, SEO, SEA, marketing automation, and continuous performance optimization. You enjoy working in a fast-paced environment, thrive with data, and know how to translate structured execution into measurable growth. If you're motivated by building scalable marketing engines and delivering clear, trackable impact, this role is for you. We're accepting applications over the next two months and will close the position as soon as we find the right match - so we encourage you to apply early. About the Role As a Growth Specialist, you'll work across multiple projects that drive lead generation, campaign performance, and product visibility. You’ll be responsible for researching, planning, executing, and analyzing marketing initiatives, while collaborating closely with our Sales and Product teams. You'll manage campaigns end-to-end, from concept and setup to optimization and reporting, while ensuring a consistent and compelling brand experience. In our dynamic marketing environment, there’s always something happening, and there are plenty of opportunities to jump in, take ownership, and make a meaningful impact. What You’ll Be Doing Innovate and Drive Growth Manage and optimize SEO and SEA initiatives Plan, launch, and improve paid ad campaigns (Google Ads, Microsoft Ads, etc.) Develop and manage landing pages aligned to campaign goals Create and refine CTAs across channels Build and execute email marketing flows (automations, drips, transactional, mass) Manage social media campaigns focused on lead generation and awareness Contribute to content creation for growth initiatives (ads, LP copy, nurture emails) Analyze and Improve Track campaign performance, conversions, and ROI Analyze marketing metrics to identify opportunities for growth Test, measure, and iterate using data-driven insights Collaborate and Execute Work closely with Sales to align messaging and improve lead quality Ensure cohesive brand representation across campaigns and platforms Communicate project progress clearly with internal stakeholders Resolve and Propel Identify bottlenecks or performance issues and propose actionable solutions Make pragmatic decisions to keep campaigns moving and goals on track Deliver Excellence Ensure all growth initiatives meet deadlines, stay within scope, and deliver measurable impact Maintain high standards of quality in all assets, campaigns, and reports Why Codekeeper? Codekeeper was founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art disaster recovery and escrow solutions that mitigate third-party risks for businesses worldwide. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization and a strong, supportive culture. What You Can Expect Passionate, fun-loving colleagues Startup mindset with room to grow and take ownership Regular team activities and gatherings Comprehensive onboarding with a structured ramp-up period Open communication and direct, constructive feedback A chance to excel in your career and make a meaningful impact About You Strong understanding of digital marketing, growth, and performance channels Skilled in SEO, SEA, lead generation, and campaign optimization Data-driven mindset with the ability to translate insights into action Excellent communication and collaboration skills Highly organized with strong analytical and strategic thinking Able to work pragmatically using available tools (e.g. writing smart ChatGPT prompts) Comfortable working cross-functionally with Sales, Design, Product, and Leadership Additional Requirements 3+ years of experience in growth, advertising, or digital marketing Experience with HubSpot, Google Ads, Microsoft Ads, and Figma Familiarity with Zapier is a plus Fluent in English (written and verbal) Strong organizational skills and ability to prioritize effectively A preference for pragmatism over idealism Additional Info Job Location: Remote (#LI-Remote) Join us to shape the future of software escrow! How to Apply To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague. Please note: Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit Our Careers Page for how to reach us.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking an AI Security Engineer to own the technical security controls for how Alpaca uses AI. The scope includes identity for AI agents and automations, security requirements for AI tools and integrations, guardrails, and security logging. You will also assist in developing AI-powered security tooling. You will keep those controls consistent as AI adoption grows, and you will work with the teams building with AI so security is part of the design. This role reports to the Enterprise Security Architect and works closely with AI Enablement, Engineering, DevOps, GRC, and the wider Security team. The Security Team is 100% distributed and remote. Things You Get To Do: The core responsibilities of the AI Security Engineer are focused on AI access controls, secure AI platforms, guardrails, visibility into AI usage, and AI-powered security tooling. AI Identity and Access Controls: Agent Identity: Define how AI agents, bots, and automations authenticate, what they can access, and how their actions are attributed and audited. Tool Access: Own security requirements for AI tool integrations, including least-privilege access and credential handling. AI Assistant Controls: Define and enforce security settings for approved AI tools, including data handling and access policy. Least Privilege: Limit each agent and integration to the access it needs, and review that access when the integration changes. Secure AI Platform, Tooling, and Response: Security Requirements: Define security requirements for internal AI applications, including identity, data handling, secrets, and review of new integrations. Guardrails: Design and implement guardrails for AI applications and agents. Design Reviews: Review new AI applications and integrations for security risks, and give builders clear, practical requirements. Security Tooling: Assist Security Operations in developing AI-powered tooling that supports detection, investigation, and response work. Safe Use in Security: Apply the same identity, data handling, and logging requirements to security team AI tools as to the rest of the company. Telemetry Requirements: Define the security logging AI systems must produce, and work with Security Operations on detection. Approved Use: Maintain visibility into AI tool usage and confirm it follows approved configurations. Incident Support: Lead the AI-specific aspects of security incidents, such as agent misuse or data exposure through AI tools. On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training. Governance: Standards: Turn AI security standards into technical controls. GRC Partnership: Partner with GRC on AI governance and provide technical evidence for control design. Who You Are (Must-Haves): Excited about Alpaca’s mission and what we’re building 2+ years of experience in security engineering, application security, or cloud security roles Hands-on experience securing LLM applications, AI agents, or AI developer tools Understanding of AI-specific risks, such as prompt injection, data leakage, excessive agency, and insecure tool use (for example, the OWASP Top 10 for LLM Applications) Experience with identity and access controls for services and non-human identities, including OAuth, service accounts, and secrets management Programming experience in Python or another general-purpose language Experience with CI/CD security checks and cloud-native deployments Experience with security operations or incident response Strong written and verbal communication skills, especially when explaining risk to non-security builders Comfortable working cross-functionally and making pragmatic security decisions Willing to participate in an on-call rotation Experience building AI-assisted workflows for security operations Experience building security telemetry for AI systems Who You Might Be ( Nice-to-Haves): Experience securing financial, trading, or other highly regulated platforms Experience securing enterprise AI coding tools and AI integrations Experience with policy-as-code and Kubernetes Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or ISO 42001 Ability to balance security rigor with operational efficiency and business needs How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is a US-headquartered engineering, architecture, construction and commissioning firm delivering complex facilities for the life sciences and advanced technology sectors. Its knowledge lives across SharePoint, CRM, project management, cost and document systems, and the client is investing in data and AI to put that knowledge to work. Intellias is the client’s data and AI delivery partner. The engagement covers several streams that run in parallel or follow one another: Data platform: a governed Microsoft Fabric lakehouse that consolidates project, commercial and document data into one trusted source. Knowledge and document AI: extraction, search and cited generation over large archives of proposals, specifications, drawings and project records. AI agents and workflow automation: assistants embedded in pre-construction, proposal, delivery and innovation processes, including idea intake, triage and approval flows. Governance and enablement: AI governance, security, environment set-up, including isolated or offline deployments, and capability building for client teams. What you will do Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records. Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products. Plan environments, capacity and the path from pilot to production. Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents. Build document intelligence pipelines that use OCR, classification and LLM-based extraction. Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps. Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes. Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required. Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly. Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability. What you need for this Tech stack: Microsoft Fabric / OneLake, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Power Platform and Dataverse, Microsoft Purview, Entra ID, Key Vault, Azure Monitor; integrations with SharePoint (Graph API), Salesforce and Procore. Requirements 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients. 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking). Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data. Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage. Strong hands-on Python and SQL; working knowledge of PySpark. Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk. Comfortable working across several initiatives at once and switching between strategy and hands-on detail. English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders. Nice to have Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification. Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems. Power BI / Microsoft Purview / Power Platform / Copilot Studio. Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling. Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions). Azure / Fabric certifications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Infrastructure organization has the mission of building and delivering the compute orchestration environment, storage and data systems, and essential platform services behind all of Reddit. The Infrastructure organization is looking to hire a backend software engineer to work collaboratively on a team dedicated to building out Reddit’s multi-cloud compute infrastructure. This is a high impact role where you will contribute to design, implementation, and operations for one of the largest sites in the world. The Infrastructure team’s mission is to provide a platform for teams to independently and effectively run their compute workloads in a performant, reliable, and secure way. The position is a mix of software engineering and devops; a lot of the time, we are writing software to improve our compute infrastructure. But there is a substantial amount of troubleshooting and analysis to understand the real problems we face as we scale, and our customer’s workloads change. What you’ll do: Work collaboratively with a team of software engineers and systems engineers to create and maintain the foundational platform for running Reddit’s infrastructure. Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit’s products in Go and sometimes Python. Guide and contribute feedback to the technical and strategic direction of the compute platform Automate critical aspects of the development process such as service creation and management, as well as critical infrastructure operations. Mentor backend developers across the company. Be the go-to person for developers on complex problems Who you might be: 10+ years of experience developing internet-scale software, preferably in infrastructure roles. 8+ years experience with cloud infrastructure systems is a plus (Kubernetes, AWS / GCE ecosystems). Experience in influencing larger (500+ engineers) organizations on technical direction/best practices. Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences. Strong focus on user experience, usability, scalability, and quality. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software at scale. Software development experience in one or more general purpose programming languages; Python, Go, Rust, Java, C++. Excellent communication skills to collaborate with a service-oriented team and company. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $286,700 — $401,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build infrastructure, including a scatter-gather ranking coordination service, feature indexes, and scalable data pipelines that power personalized feeds, search, and other Reddit products. We partner closely with machine learning engineers who develop and productionize models, and with ML Platform teams that build inference and training services and feature stores. Our team mantra is “Intention over Attention.” We help users fulfill their intention for visiting Reddit by connecting them with relevant content and communities. We are a team of builders who value impact, personal growth, openness, and kindness. How You’ll Have Impact As Engineering Manager for Ranking Platform, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You will partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into a clear platform strategy and deliver it from ideation through production. You will be accountable for the team’s health, growth, execution, and operational excellence. Working with technical leaders, you will guide architecture and investment decisions, improve the experience of teams building on the platform, and balance new capabilities with reliability, latency, and infrastructure cost. What You’ll Do Lead: Set the team’s direction and roadmap with senior engineers and partner teams. Select, scope, and deliver high-impact initiatives that evolve the ranking coordination services, ML indexes, and data pipelines supporting Reddit’s feeds and discovery experiences. Build: Hire, onboard, and develop a high-performing engineering team. Set clear expectations, provide actionable feedback, manage performance, and create growth opportunities for engineers at different career stages. Maintain direct feedback loops with engineers using the platform, and use their feedback and adoption patterns to guide investment. Amplify: Coach engineers and technical leaders, delegate meaningful ownership, and build a culture of technical excellence, inclusion, and knowledge sharing. Protect engineers’ focus time by removing blockers, reducing unnecessary interruptions and keeping processes lightweight. Deliver: Turn multi-quarter platform investments into achievable milestones. Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities as partner and business needs evolve. Operate: Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening. Establish clear reliability and performance goals and use them to guide investment. Plan realistically for on-call work and unexpected requests, make reprioritization explicit and address unsustainable operational load. Collaborate: Build strong partnerships with Feed, Search, Ads, ML Platform, and infrastructure teams. Align roadmaps, resolve competing requirements, and make platform capabilities easier to adopt and operate. Evolve: Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable. Create space for experimentation and continuous learning while holding a high bar for production readiness, spotting unnecessary complexity and recognizing where simplification or consolidation would improve maintainability and help teams work more effectively. What We’re Looking For 5+ years of people management experience leading high-performing engineering teams, including hiring, coaching, career development, and performance management. 7+ years of experience building large-scale backend distributed systems, including substantial experience developing and shipping production software. Experience leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or streaming and batch data pipelines. Strong technical judgment in high-throughput platform services and APIs, with the ability to guide tradeoffs among reliability, latency, scalability, data freshness, and cost alongside senior engineers. A track record of defining technical direction and delivering platform initiatives across multiple quarters and teams, with clear prioritization and measurable outcomes. Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering. High empathy, excellent organizational and communication skills, and the ability to build consensus across engineering and product teams. You can explain complex technical decisions to technical and non-technical audiences and lead effectively in a distributed environment. Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink is a plus. BS degree in Computer Science, a similar technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: Reporting to the Corporate Accounting Manager, this role is suited to a strong part-qualified accountant with relevant finance experience. You will take ownership of accurate accounting and reporting of SIEE actuals, primarily supporting Software Technology Operations, with a focus on Digital, Technology, & Information Svcs, Gaming, Developer & Future Technology and the Engineering team. You will work closely with Finance business partners and the central finance team to deliver a controlled month-end close, reliable reconciliations and clear variance analysis. Strong communication, organisation and prioritisation skills are essential. The role is predominantly Corporate Accounting, with scope of supporting Pricing responsibilities in future, which sit within the Stock Accounting team following handover. What you'll be doing: Financial Accounting related tasks: Prepare monthly Software Technology Operations cost centre journals, Accruals, Prepayments, Reclasses, Recharges, Capex Postings, Depreciation. In accordance with month end timelines. Review GL coding across key P&L accounts and ensure costs are allocated to the appropriate cost centres, profit centres and legal entities. Prepare, review and clear open balance-sheet items monthly, investigating differences and resolving outstanding balances promptly. Maintain the fixed asset register and support capital expenditure accounting, including capitalisation calculations, construction in progress, depreciation and amortisation specifically for Software Tech Ops team but also cover for our other teams. Support Accounts Payable with overhead-related queries, particularly those arising within Software Technology Operations. Assist business users with SAP-related accounting and reporting issues. Work closely with Software Technology Operations stakeholders through regular meetings to ensure accurate purchase order management, timely goods receipting and invoice submission, resolve accounting queries, maintain supporting documentation and respond to ad hoc requests. Provide GTO with relevant tax information relating to overhead costs and fixed assets. Support Internal Audit, SOX and External Audit with accurate general ledger data and supporting documentation within agreed timelines. Complete National Statistics questionnaires within required timelines. Identify and implement continuous improvements to accounting processes, supporting robust controls, appropriate segregation of duties, knowledge transfer and reduced key person dependencies. Meet regularly with business stakeholders to resolve accounting matters, maintain supporting documentation and respond to ad hoc requests. Cross-functional support across the team, with the flexibility to step into different responsibilities, provide cover during absences or busy periods, and build a broad understanding of the team’s activities within the Corporate Accounting Team. Stock Accounting / Pricing support: Support Pricing responsibilities within the Stock Accounting team for approximately one day per week, following agreed handovers, to support continuity and enable the transition from temporary resource coverage. What we’re looking for: Part-qualified accountant studying towards ACCA, ACA or CIMA. At least two years’ relevant experience within a finance team ; two to three years’ experience is preferred. We are a large multination company with some cross overs with wider Europe, US and Japan, so any experince working within a multinational would be useful. Prior experience of accounting for IT, R&D or Engineering operating expenditure (Opex) and Capex experience preferred. Systems literate – with experience of SAP and Business Warehouse preferable. Intermediate Excel skills Experience of contributing to a controlled, well-ordered financial close, including journals and balance-sheet reconciliations. Ability to work within a time pressured environment and to strict deadlines. S trong time-management and organisational skills Good communication skills Experience of working closely with non-finance business stakeholders and building effective working relationships across the organisation is preferred, particularly within technology or engineering functions. A proactive and conscientious working attitude, as well as ability to use initiative. Accuracy and attention to detail to ensure accurate reporting. Benefits Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers 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 (where applicable) 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: Intellias Meet your recruiter Mariia Tislenko mariia.tislenko@intellias.com https://www.linkedin.com... Vacancy details Software Engineering PHP Engineer Senior Ukraine Remote APPLY NOW REFER A FRIEND The team develops Intems, Intellias’s in-house core platform, and drives AI automation of the company’s internal processes. Intems covers employee records, time tracking and time off (PTO), employee engagement, benefits, and performance evaluation and development. It also serves as the corporate portal, is integrated with the company’s other information systems, and acts as the main interface for HR processes and a key data source for analytics. What project we have for you The team is part of the IT department, which plays a key role at Intellias in driving change management, process improvement and AI enablement across the company. What you will do Develop backend and frontend features for the Intems platform Build and support integrations between Intems and other company systems Turn business requirements into technical solutions: research options, compare trade-offs and propose the best approach Build AI-powered automations for internal processes Write clean, secure and maintainable code covered by unit and integration tests Estimate and plan tasks, and deliver on commitments Suggest technical and functional improvements that add value to the product What you need for this Must have skills: 7+ years of commercial PHP development experience, including PHP 8.x Strong understanding of OOP, SOLID principles and software design patterns Solid experience with MVC frameworks (Laravel or similar) Experience building REST APIs and integrating with external systems Experience with JavaScript (ES6+), TypeScript Experience with HTML5 and CSS/SASS Experience with relational databases (MySQL), including schema design and query optimization Experience with non-relational databases: MongoDB, Redis Experience with Docker Experience with Git and pull-request-based workflows Experience configuring and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps or similar) Experience writing unit and integration tests (PHPUnit or similar) Daily hands-on use of AI coding assistants (GitHub Copilot, Cursor or similar) in modern IDEs (VS Code, PhpStorm) Practical experience using AI tools across the SDLC: code generation, refactoring, test creation, code review and documentation Knowledge of secure coding practices (OWASP Top 10) Experience doing code reviews Understanding of the SDLC and Agile principles Ability to estimate tasks accurately and deliver on commitments Nice to have skills: Experience with MS Foundry (deploying models and building AI agents) Experience automating the SDLC with AI: AI-assisted code review and test generation in CI/CD pipelines, coding agents, custom instructions and prompts for the team Experience with MCP and building tools and integrations for AI agents Experience with Azure cloud services (Service Bus, Storage account, Azure func, VM, Managed identity, Key-Vaults) Experience with Vue.js (2.x/3.x) Knowledge of Webpack, npm and modern front-end build tools Experience implementing responsive web designs Experience with Jira Certification: CCDV-F or a similar AI certification What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Khrystyna Derpak khrystyna.derpak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible. The ideal candidate is a forward-thinking engineer who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 10,000 coworkers. For the trailing twelve months ended September 30, 2020, the company generated Net sales over $18 billion. Broad array of offerings range from hardware and software to integrated IT solutions such as security, cloud, data center and networking What you will do Agentic Engineering & Orchestration Workflow Design: Architect complex, multi-agent workflows using Microsoft AI tech stack. Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions. Tool Use & Function Calling: Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.) State Management: Design persistence layers to manage agent memory, conversational history, and context windows efficiently. Advanced Data & RAG Strategy Retrieval Pipelines: Build production-grade data retrieval and integration systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. Data Quality: Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption LLMOps, Evaluation & Quality Automated Evaluation: Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing. Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. Observability: Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. Cost Optimization: Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. Innovation & Collaboration Prototyping to Production: Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code. Standards Adoption: Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity. What you need for this Core Engineering Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications. Programming: Strong hands-on experience with Python for AI/LLM application development. Agentic AI: Hands-on experience designing and building AI agents / Agentic AI solutions. LLM APIs: Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini). AI Specialization 2+ years specifically building with LLMs, with deep familiarity in: Orchestration: LangChain, LangGraph, or similar state-based frameworks. Vector DBs: Pinecone, Weaviate, or pgvector. Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. Soft Skills: Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful. Communication: Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. Nice to Have Microsoft Foundry What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Athens, Greece 🔎 Have you already built AI systems that other people use, and do you want to own them end to end, from the first measurement to production? Do you want to apply your machine learning experience to security-relevant AI? 💡 CENSUS Junior AI Engineer is your opportunity to join our AI team and own features in our production AI systems and products. You will build, evaluate, and ship LLM-powered features on security data, and help guide the interns on the team as you grow. Why Join? 🔹 Real Ownership: Own features in production AI systems end to end, from data and a first measurement through evaluation, deployment and iteration. 🔹 Elite Team: Work alongside world-class AI and cybersecurity experts. 🔹 Hands-on AI: High-impact work across LLM features, RAG and agent systems, evaluations, datasets, and fine-tuning . 🔹 Mentorship: A named AI-team mentor for your first months, and code review on every pull request. 🔹 Remote Work Model: Fully remote in Europe . 🔹 Growth: A clear path to AI Engineer as you take on larger, less defined work. What You’ll Do 🔹 Design, build and ship LLM-based features , together with the evaluations that prove they work. 🔹 Own work on retrieval (RAG), agent and tool-routing systems that answer questions over real security data. 🔹 Build datasets and fine-tune open models on security data, and measure the result against a baseline. 🔹 Scope your own tickets with your mentor and back every change with before-and-after results. 🔹 Review your teammates’ pull requests and help guide our interns. Who We’re Looking For 🚀 Required Skills: 🔹 At least 1 year of hands-on experience in AI, Machine Learning or Data Science engineering. Internships count, and so does industry or research-lab work. 🔹 A track record of shipping : at least one ML or LLM feature that went into production or into a codebase other people used. 🔹 Strong Python , with readable, tested code that others can review. 🔹 Experience in a team codebase: Git, pull requests , and both giving and receiving code review. 🔹 Practical experience building LLM applications (prompting, RAG or agents) and evaluating them, not only calling an API. 🔹 A solid grasp of machine learning fundamentals , and the ability to design an experiment and read its results honestly. 🔹 Working knowledge of SQL and Docker . 🔹 The ability to work independently on a well-scoped ticket and to say early when you are stuck. 🔹 Good written English (non-English resumes will be rejected) , and the habit of backing claims with evidence. ✨ Bonus Skills (Make Your Application Stand Out!): 🔥 Fine-tuning LLMs ( LoRA, SFT, DPO ) or building evaluation sets. 🔥 GPU training or model-serving experience (e.g. vLLM). 🔥 Vector databases , cloud or Kubernetes experience. 🔥 Published papers or research experience. 🔥 Interest in security or cryptography (we will teach you the domain). The Details 📌 Who Can Apply? 🔹 Open to graduates (Bachelor’s, Master’s or PhD) in Computer Science, AI, Machine Learning, Data Science or related fields, or candidates with equivalent practical experience, with at least 1 year of hands-on experience, internships included . 🔹 Europe-based candidates are prioritised. 📍 Location: Remote in Europe. 📄 Contract: Full-tiume 🎯 Career Path: Grow into an AI Engineer role as you take ownership of larger parts of our AI systems. About CENSUS CENSUS is a globally recognized cybersecurity firm delivering top-tier IT and OT security solutions. We work with Fortune 500 companies, financial institutions, critical infrastructure, and secure communications providers worldwide. Our expertise spans cutting-edge research, scientific analysis, and deep engineering experience, ensuring unmatched security for products, infrastructure, and organizations. 🔗 Learn more about us at CENSUS | Cybersecurity Engineering

Location: Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Associate Legal Engineer, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — Поэтапный перевод системы с графа сценариев и скиллов на управляемый LLM-based диалог — Дебаг голосового пайплайна (поиск причин high latency, галлюцинаций LLM, проблем с передачей аудио, графовых ошибок) — Оперативное принятие архитектурных решений и их самостоятельная реализация в коде — Поддержка и быстрая отладка few-shot классификации сценариев на базе Qwen и классификаторов на BERT — Учёт краевых случаев, исправление ошибочных срабатываний интентов — Finetuning локальных LLM (извлечение сущностей, удерживание инструкций) — Интеграция и поддержка ASR на базе GigaAMv2 (отладка качества распознавания, работы VAD) — Дообучение и настройка инфереса собственных и опенсорсных TTS и систем клонирования голоса Требования: — Экспертиза в NLP и LLM: практический опыт с LLM/SLM (Few-shot learning, prompt engineering) и BERT (классификация сценариев и интентов) — Практический опыт finetuning LLM (PEFT, LoRA/QLoRA) под узкие прикладные задачи — Уверенный дебаг LLM: умение быстро понять, почему модель ответила не так, и исправить это промптом, гиперпараметром или файнтюном — Опыт дообучения и оптимизации TTS-моделей — Опыт работы и интеграции современных ASR-систем (в частности, GigaAMv2) — Опыт работы как с графовыми/сценарийными диалоговыми движками, так и с LLM-агентами — Высокая скорость диагностики проблем в инференсе, локализации багов и принятия инженерных решений — Уверенное владение Python (PyTorch, huggingface, фреймворки инференса) — Уверенное владение Go — Опыт работы с оптимизацией инференса под low-latency (vLLM, TensorRT-LLM, Triton Inference Server, ONNX Runtime) — Практика работы со потоковым аудио в реальном времени (streaming ASR/TTS, gRPC-контракты) — Типизация в Go, базовые типы (строки, числа, слайсы и мапы) — Примитивы синхронизации и конкуренция (синхронизация горутин, работа с каналами) — Указатели и работа с ними — Observability — Оперативность в принятии архитектурных решений — Самостоятельность в реализации решений — Высокая скорость диагностики проблем Будет плюсом: — Понимание SOLID, DRY и KISS паттерны — Базовое понимание дизайна сервисов на Go

Грейд: Lead.

Location: Hyderabad, India About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional Automation Engineer Intern to join our team. In this role, you will support the SaaS applications and platforms that power our demo and field environments, investigating access issues, misconfigurations, and recurring requests. You will focus on identifying root causes, developing lasting solutions, and documenting your findings. Working alongside Automation Engineers and Field Systems Analysts, you will receive regular mentorship, take ownership of well-scoped problems, and identify opportunities to automate repetitive work using Workato. In this role, you will also be responsible for: Assist with acquiring and setting up SaaS, PaaS, and IaaS platforms for demos and proofs of concept, including Salesforce, SAP, Workday, NetSuite, ServiceNow, Snowflake, AWS, and GCP, ensuring environments meet user requirements. Collaborate with technical teams to keep demo applications integrated and functioning as expected. Administer demo applications by adding users, configuring permissions, and assigning licenses. Support complex application configurations and verify that they align with organizational requirements. Review application settings regularly to help maintain performance and security. Support users in accessing demo environments and applications, serving as the first point of contact for their requests. Investigate and troubleshoot access problems, misconfigurations, and failed logins, identifying root causes and recommending lasting solutions. Assist with routine governance activities, including access reviews, license tracking, and compliance checks, and flag any anomalies. Identify recurring issues and repetitive manual tasks, and propose or help build automations and tools on Workato to manage demo infrastructure. Help build and maintain environments that support high-quality Workato product demonstrations. Document troubleshooting steps, configurations, and how-to guides to make solutions repeatable. Keep stakeholders informed of request status and escalate blockers promptly. Share findings and lessons learned with the team, including approaches tried and their outcomes. Requirements Qualifications / Experience / Technical Skills Degree in Information Systems, Computer Science, Engineering, or a related field. Demonstrated problem-solving ability through coursework, projects, work, or personal experience involving the diagnosis and resolution of a complex issue. Hands-on exposure to at least one SaaS application or administration console, such as Google Workspace, Slack, Salesforce, Okta, or Jira. Basic understanding of user access concepts, including roles, permissions, and least privilege. Professional working proficiency in English. Experience delivering a project involving application, integration, or system troubleshooting is a plus. Exposure to cloud platforms such as AWS or GCP, or enterprise applications such as Salesforce, Workday, or NetSuite, is a plus. Familiarity with single sign-on and identity concepts, including SAML, OAuth, and MFA, is a plus. Basic scripting or low-code/no-code automation experience using Workato, Python, or similar tools is a plus. Experience using spreadsheets or data tools for analysis and reporting is a plus. Interest in IT governance, security, or compliance is a plus. Soft Skills / Personal Characteristics Methodical approach to problem-solving, with a focus on understanding issues and identifying root causes before proposing solutions. Strong analytical mindset, with the ability to gather information from multiple sources, question assumptions, and draw evidence-based conclusions. Persistence when facing blockers, with sound judgment about when to escalate or ask for help. Clear written communication skills, with the ability to explain problems, reasoning, and solutions so others can follow. Strong attention to detail and a consistent habit of verifying work. (REQ ID: 3000)

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Build the future of AI model routing, where every task gets the right model, automatically. Today, developers often have to choose between models that are faster, cheaper, or more capable. But the right model isn't always the same for every request. Grid is Baseten's intelligent model routing platform, designed to help developers get the best possible results across open and frontier models without manually managing every decision. We're starting with coding agents, where model choice can have an enormous impact on quality, speed, and cost. As Product Manager for Grid, you'll work with engineers, researchers, and customers to build a new category of AI infrastructure. You'll help shape how intelligent routing works, how developers control it, and how we prove it's better than choosing a single model. RESPONSIBILITIES - Own the product roadmap for Grid, from early developer adoption to production deployments and enterprise expansion. - Work with researchers and engineers to improve intelligent model selection, routing policies, fallbacks, and controls. - Build evaluation frameworks that measure real-world outcomes, including task quality, completion time, latency, and total cost. - Shape the developer experience for onboarding, configuration, observability, and routing decisions. - Help customers understand why a model was selected and give them confidence and control over how routing behaves. - Work through technical challenges involving conversation history, tool compatibility, prompt caching, retries, and routing overhead. - Partner with GTM and customers to turn early pilots into sustained adoption and revenue growth. REQUIREMENTS - Experience building and commercializing AI/ML products or developer platforms, with demonstrated adoption or business impact. - A technical background in software engineering, ML engineering, research, or equivalent hands-on experience. - Experience working with researchers or ML engineers on model behavior, evaluation, or learned systems in production. - Strong understanding of AI model quality, latency, cost, and the tradeoffs involved in optimizing across them. - Excellent developer product instincts, with an appreciation for both simple APIs and enterprise-level controls. - Hands-on experience using coding agents and a strong point of view on where automation helps developers and where they need control. - Comfort building emerging products where the technical approach and customer expectations are still evolving. NICE TO HAVE - Experience with LLM gateways, model routing, AI agents, coding harnesses, or multi-model platforms. WHAT SUCCESS LOOKS LIKE Developers can build better AI applications without having to manually choose and optimize every model. Grid consistently delivers measurable improvements in quality, speed, or cost, and becomes a trusted part of customers' production AI stacks. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Home-based, Mexico Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Role Summary We are seeking an exceptionally organized, tech-forward Talent Operations Associate to join our Global Talent Acquisition team. As our first Talent Operations Associate in Mexico City, you will bridge the gap between high-touch candidate coordination and cutting-edge Talent Operations for Americas hiring. We are looking for someone with a genuine passion and proven experience in AI and automation who can leverage emerging tools to drive process efficiencies and improve our operational capabilities such as streamline scheduling, unblock logistics challenges, and build data-driven dashboards. If you are comfortable working consultatively with senior stakeholders, being proactive and assertive in securing interviewer availability, and excited to redefine how hiring operations run, this role is for you. This is a hybrid role, with 3 days in office. Key Responsibilities - AI-Driven Scheduling & Logistics: Own complex, multi-time-zone interview scheduling. Actively leverage AI tools and workflow automation to resolve interviewer declines, optimize availability, and eliminate manual coordination bottlenecks. - Assertive Stakeholder Management: Partner directly with senior leaders, hiring managers, and interviewers. Confidently hold stakeholders accountable to SLAs, manage expectations, and secure necessary calendar availability. - Data & Analytics (Dashboarding): Build and maintain recruitment and scheduling dashboards to track key metrics (e.g., interviewer bandwidth, time-to-schedule, drop-off rates) and transform raw operational data into actionable insights. - Interviewer Enablement & Training: Manage and optimize interviewer training and shadowing programs, ensuring a scalable, consistent pool of qualified interviewers across all departments. - ATS Optimization: Partner with the team to manage, configure, and optimize our talent tech stack (Ashby), testing new features and AI integrations to improve pipeline velocity. Required Qualifications - 2+ years of experience in high-volume, multi-region/country interview coordination, talent operations, or a similar recruitment support or operations function. - Proactive Problem-Solving: A resourceful, solution-oriented mindset able to resolve high-friction scheduling logistics while simultaneously troubleshooting broader operational challenges across the hiring lifecycle. - AI & Automation Proficiency: Proven experience or a demonstrated passion for using AI tools, prompt engineering, or workflow automations to solve operational inefficiencies. - Data Fluency: Demonstrated ability to work with hiring data and build reporting dashboards to identify bottlenecks and guide decisions. - Strong Executive Presence: Confident, tactful communication skills with the ability to manage senior stakeholders and hold them accountable to timeline commitments. - Tech-Savvy: Hands-on experience with modern Applicant Tracking Systems (ATS) to manage candidate pipelines. - Strong Project Management: Ability to prioritize, organize and manage multiple projects in various stages with ease. Preferred Experience - Direct experience with Ashby (ATS). - Hands-on experience building custom dashboards or using business intelligence tools. - Background in a high-growth technology, AI, or Fintech environment. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: India ubject Matter Expert - Infrastructure as Code & DevOps Automation Position Summary We seek an experienced IT Automation Specialist to lead infrastructure automation initiatives across our enterprise environment. As a subject matter expert, you will design, implement, and maintain scalable automation solutions using industry-leading tools including Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms. This role combines hands-on technical expertise with strategic thinking to drive infrastructure modernization and operational efficiency. Key Responsibilities Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation, including RBAC, credential management, and workflow orchestration Lead adoption of agentic AI capabilities to automate decision-making processes and reduce manual operational overhead Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects Troubleshoot and resolve complex automation issues; provide technical documentation for knowledge transfer to other teams Integrate automation solutions with CI/CD pipelines, monitoring systems, and ticketing platforms Document technical architecture, runbooks, and operational procedures for all automation systems Evaluate and recommend new automation tools and technologies that improve efficiency and reduce operational risk Collaborate with cross-functional teams (Cloud, Infrastructure, Security) to embed automation across IT operations Requirements Required Qualifications 5+ years of IT infrastructure and systems administration experience Expert-level proficiency with Terraform and/or OpenTofu; demonstrated ability to manage complex infrastructure states Advanced expertise in Ansible; proven experience in designing and maintaining Ansible Tower or AWX in production environments Strong Python programming skills; ability to write custom modules, plugins, and automation scripts Deep understanding of DevOps principles, CI/CD pipelines, and infrastructure-as-code best practices Experience with public cloud platforms (Azure, GCP) and hybrid/on-premises infrastructure Knowledge of version control systems (Git) and collaborative development workflows Strong troubleshooting and problem-solving abilities with demonstrated experience resolving production incidents Excellent communication skills; ability to translate complex technical concepts for non-technical stakeholders Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience Preferred Qualifications Hands-on experience implementing and managing agentic AI solutions for IT operations automation Experience with advanced Ansible Tower features (workflows, dynamic inventory, LDAP/SAML integration) Familiarity with configuration management databases (CMDB) and ServiceNow integrations Knowledge of GitOps methodologies and tools (ArgoCD, Flux) Certifications such as HashiCorp Certified Terraform Associate, Ansible Specialist, or equivalent cloud/infrastructure certifications Open-source project contributions or demonstrated thought leadership in the infrastructure automation community Technical Skills Matrix IaC: Terraform, OpenTofu, CloudFormation | Expert Config Management: Ansible, Ansible Tower, AWX | Expert Agentic AI: LLM orchestration, AI-driven automation, prompt engineering | Intermediate+ Languages: Python, Bash, Go, HCL, PowerShell | Advanced Cloud: AWS, Azure, GCP, hybrid infrastructure | Advanced Languages: Python, Bash, Go, HCL, PowerShell | Advanced Why This Role Matters Automation is at the heart of our IT modernization strategy. In this role, you'll drive repeatability, reduce manual toil, and enable self-service capabilities across our infrastructure. You'll work with cutting-edge technologies including emerging agentic AI solutions, and your expertise will directly impact how efficiently we deliver infrastructure services to our clients. Equal Opportunity Statement We are an equal opportunity employer committed to fostering an inclusive, supportive workplace free from discrimination. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and respected