Вакансии

Location: Egypt Workplace: remote Join a short, paid project that tests whether AI coding agents work as well on instructions written in the target language as they do in English. Your language skills and technical background decide where you fit.  About the project  Welo Data is helping evaluate how well AI coding agents perform when the instructions they receive are written in languages other than English. Agents are given a real software engineering task in a code repository, and automated tests check whether they solved it. The code, repositories and tests stay exactly as they are. Only the human-written instructions change language, so the quality of every instruction directly affects the result.  About the roles  There are two roles on this project. We place you in one of them based on your experience& skillsets.  Translator: translate English software engineering task briefs into the target language. You keep every requirement, constraint and success condition, and you leave commands, file paths, API names, code and test conditions exactly as written in English. This role suits people with a stronger technical background, and translation experience is a plus. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Germany Workplace: remote Join a short, paid project that tests whether AI coding agents work as well on instructions written in the target language as they do in English. Your language skills and technical background decide where you fit.  About the project  Welo Data is helping evaluate how well AI coding agents perform when the instructions they receive are written in languages other than English. Agents are given a real software engineering task in a code repository, and automated tests check whether they solved it. The code, repositories and tests stay exactly as they are. Only the human-written instructions change language, so the quality of every instruction directly affects the result.  About the roles  There are two roles on this project. We place you in one of them based on your experience& skillsets.  Translator: translate English software engineering task briefs into the target language. You keep every requirement, constraint and success condition, and you leave commands, file paths, API names, code and test conditions exactly as written in English. This role suits people with a stronger technical background, and translation experience is a plus. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Netherlands Workplace: remote Join a short, paid project that tests whether AI coding agents work as well on instructions written in the target language as they do in English. Your language skills and technical background decide where you fit.  About the project  Welo Data is helping evaluate how well AI coding agents perform when the instructions they receive are written in languages other than English. Agents are given a real software engineering task in a code repository, and automated tests check whether they solved it. The code, repositories and tests stay exactly as they are. Only the human-written instructions change language, so the quality of every instruction directly affects the result.  About the roles  There are two roles on this project. We place you in one of them based on your experience& skillsets.  Translator: translate English software engineering task briefs into the target language. You keep every requirement, constraint and success condition, and you leave commands, file paths, API names, code and test conditions exactly as written in English. This role suits people with a stronger technical background, and translation experience is a plus. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

- Conduct and adjudicate referrals of unusual activity and investigate AML/CTF/sanctions risks. - Prepare timely SAR/STR submissions or close referrals with reasoned justification.

Location: South Korea Workplace: remote Join a short, paid project that tests whether AI coding agents work as well on instructions written in the target language as they do in English. Your language skills and technical background decide where you fit.  About the project  Welo Data is helping evaluate how well AI coding agents perform when the instructions they receive are written in languages other than English. Agents are given a real software engineering task in a code repository, and automated tests check whether they solved it. The code, repositories and tests stay exactly as they are. Only the human-written instructions change language, so the quality of every instruction directly affects the result.  About the roles  There are two roles on this project. We place you in one of them based on your experience& skillsets.  Translator: translate English software engineering task briefs into the target language. You keep every requirement, constraint and success condition, and you leave commands, file paths, API names, code and test conditions exactly as written in English. This role suits people with a stronger technical background, and translation experience is a plus. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. This is a company-level technical leadership role spanning Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. You will set the multi-year technical direction for the platform, align teams around clear architectural boundaries and standards, and lead major cross-functional initiatives from ambiguous opportunity through durable adoption and measurable impact. WHAT YOU’LL DO - Set and communicate a multi-year technical vision for the Builder Platform, translating company strategy into an executable portfolio across Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. - Lead the architecture and evolution of our Agent Platform, the shared foundation teams across Temporal use to deploy, run, evaluate, govern, and improve their agents and agentic workflows. - Establish and operate our AI Infrastructure, the LLM and MCP gateways every agent and workflow at Temporal runs through, with guardrails, fallback, usage and cost controls, model rollout policies, and clear SLOs. - Implement AI Governance in partnership with Security, Legal, and IT, turning policy into practical controls, approved patterns, and auditability without creating unnecessary barriers. - Architect the agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, and decide which patterns graduate into shared platform capabilities and which stay with the teams that own them. - Own the technical strategy for our Developer Infrastructure (Source Control and CI) and developer tools, including repository standards, access and ownership models, reusable workflows, and CI reliability and cost. - Partner with leaders across Engineering, Product, Sales, and G&A to identify where AI can accelerate work and improve outcomes, and prioritize those opportunities into a company-wide portfolio. - Standardize how Temporal adopts agents and agentic tooling (best practices, paved roads, and enablement), driving adoption across the organization through influence rather than mandate. - Define clear architectural and organizational boundaries across the platform (what is centralized, standardized as a paved road, federated to teams, purchased, or deliberately not built) and make the hard tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Measure the platform on outcomes (adoption, velocity, reliability, and cost), with feedback loops that quantify the productivity it unlocks and shape the portfolio. - Own our customer-zero strategy: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, drive the feedback loop with product leadership, lead our open-source reference architecture for customer platform teams, and represent the strategy with customers, partners, and the broader technical community. - Develop senior technical leaders, create alignment among engineering leads and managers, and make teams more effective without relying on direct authority. - Participate in on-call rotation while leading systemic improvements that reduce operational burden, address risks before they become company-wide problems, and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of setting technical direction and delivering major platform initiatives across multiple engineering teams. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining company-wide best practices and driving adoption across the organization. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with deep expertise in at least one relevant domain (developer infrastructure, distributed systems, AI platforms, or platform engineering) and proficiency across several others. - Experience building and operating internal platforms, developer infrastructure, or agent platforms adopted across a company. - Strong judgment in platform-boundary decisions (what to centralize, federate, standardize, buy, or deliberately avoid building) and in tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Demonstrated ability to influence engineering managers, senior individual contributors, Security, Legal, IT, Product, and business stakeholders, and to turn ambiguous company objectives into architecture, standards, roadmaps, and coordinated execution. - Experience defining outcome-oriented metrics for developer productivity or AI systems (adoption, reliability, quality, cost, and cycle time) and using them to steer a portfolio. - Clear written communication, including documentation and technical strategy that enable self-service and align teams across the company. - Experience establishing governance through paved roads rather than documentation or approval processes alone. - Evidence of making other technical leaders and teams more effective through mentorship, architectural clarity, and consensus building. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. - Experience defining or implementing AI governance, model-access infrastructure, or agent evaluation systems. - Experience managing GitHub configuration, policy, and workflows at organizational scale - Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. WHAT YOU’LL DO - Own the strategy, architecture, and operation of our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows, setting direction and ensuring reliability and scalability. - Architect the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Design, build, and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, scaling them across teams and use cases. - Lead the development and evolution of our Developer Infrastructure (Source Control and CI) and the developer tools that improve builder flow and reduce friction across the company. - Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. - Define best practices for agents and agentic tooling, build the enablement materials and paved roads behind them, and proactively drive adoption across the organization. - Establish and drive measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks, inform prioritization, and shape the roadmap. - Lead our work as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, own the feedback loop with product leadership, and drive our contribution to an open-source reference architecture that customer platform teams can adopt. - Mentor and support engineers on the team, raising the bar on technical design, execution, and use of agents and agentic tooling. - Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of leading the design, delivery, and operation of production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining best practices and driving adoption across teams. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with the ability to make pragmatic, high-leverage technical decisions. - Experience architecting and scaling workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar) used across teams or the organization. - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability, security, or long-term maintainability. - Comfort leading cross-functional collaboration, including partnering with non-traditional developers and translating ambiguous needs into scalable, well-adopted solutions. - Ability to use data and qualitative feedback together to define success metrics, prioritize effectively, and measure impact. - Clear written communication, including documentation that enables self-service and scales knowledge across teams. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and an open-source frameworks our customers can adopt. WHAT YOU’LL DO - Develop and operate our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows. - Establish and operate the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Build and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, with humans governing the boundaries. - Own our Developer Infrastructure (Source Control and CI) and build the developer tools that improve builder flow and reduce friction across the company. - Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes. - Drive adoption of agents and agentic tooling across the company, and own the best practices and enablement materials that help builders succeed using the paved roads. - Build measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks and guide the roadmap. - Treat Temporal as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, and contribute to an open-source reference architecture that customer platform teams can adopt. - Participate in on-call to support internal users. WHAT YOU’LL BRING - Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java. - Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar). - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability. - Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions. - Ability to use data and qualitative feedback together to prioritize and measure impact. - Clear written communication, including documentation that enables self-service. NICE TO HAVES - Experience building internal agents and operating an agent platform - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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 . Reddit brings people together around their interests, questions, and experiences. Our communities generate a rich and complex ecosystem of human activity, creating scientific challenges in understanding behavior, measuring impact, and anticipating change. The Data Science Platform team builds the tools that enable a scientific understanding of Reddit. We develop Reddit’s analytics agent, and the shared scientific capabilities and methods that allow data scientists and business partners to answer increasingly sophisticated questions. We are looking for a senior technical lead who combines deep expertise in statistics, machine learning and causal inference with strong software engineering ability. You will establish the scientific direction for agentic analytics, causal inference, and forecasting, turning advances in research into reliable software used across the company. As an Applied Scientist on the Science Platform team, you will work across the full development cycle: identifying important problems, evaluating research, implementing and validating methods, and shipping capabilities that others can use confidently. You will partner closely with software engineers and data scientists to build an analytics agent that can investigate questions, select appropriate methods, execute analyses, and communicate findings with clear assumptions and uncertainty. Responsibilities: Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit. Research, evaluate, and implement emerging methods. Move quickly from research papers to working prototypes, validate their practical value, and develop successful approaches into maintained production capabilities. Design and build our analytics agent’s architecture and capabilities, including how the agent decomposes questions, selects scientific methods, uses data and analytical tools, checks assumptions, and produces reproducible results. Build reusable causal inference tools that help teams estimate the effects of product changes, policies, and business decisions using observational data. Develop shared forecasting capabilities for business and product metrics, including probabilistic predictions, hierarchical forecasts, and scenario analysis. Create evaluation frameworks that measure the correctness and usefulness of agent-generated analyses. Build benchmarks, simulations, and automated checks that detect methodological errors, unsupported claims, and misleading interpretations. Own the implementation of scientific methods in production software, writing robust Python code and partnering with engineers on libraries, APIs, data pipelines, observability, and system design. Work with data scientists and business partners to identify recurring analytical needs and translate them into accessible platform capabilities, documentation, and workflows. Influence technical and organizational strategy through clear scientific recommendations, mentor scientists and engineers, and share methodological advances internally and externally where appropriate. Required Qualifications: A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise. At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles. Deep knowledge of statistical inference and econometrics, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible. Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change. Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring. A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems. Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic evaluation of their outputs. Clear communication of statistical assumptions, uncertainty, and technical tradeoffs to business audiences. Experience developing other technical contributors through mentorship, design reviews, and collaboration across organizational boundaries. The ability to make progress on ambiguous problems, prioritize consequential work, and deliver useful capabilities through rapid iteration. Preferred Qualifications: Publications, open-source contributions, or widely adopted internal tools in agentic analytics, causal inference, forecasting, or other related fields. Experience building scientific libraries or platforms used by other data scientists, including interfaces that make sophisticated methods accessible to people with different levels of statistical expertise. Experience building agents at scale that perform substantive analytical work, including retrieval of relevant data and context, selection of methods, execution of Python or SQL, and validation of findings. Benefits: 100% remote opportunity (we have four office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) 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 #LI-AJ1 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: $232,500 — $325,500 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: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT RAMP LABS Ramp Labs is Ramp's AI research group. We post-train models on finance work, build the environments and evals they learn from, and ship them into the products 70,000+ companies use to move money. We think the defensible part of an AI product is the loop: proprietary environments, evals that track what customers care about, and models trained against both. ABOUT THE ROLE Every model decision at Ramp Labs runs through a benchmark. Which model to route to. Whether a post-training run worked. Whether an agent is ready to post a corrective journal entry to a customer's ledger without a human in the loop. You'll own Ramp's benchmarking effort. You'll turn real finance work (expense policy review, invoice coding, month-end close, spreadsheet Q&A) into benchmarks and RL environments, build the graders, and tell the team what is actually improving. WHAT YOU’LL DO - Build benchmarks from real workflows: turn agent traces, customer edge cases and expert labels into versioned benchmark suites for long-horizon agents that run for hours across tools and systems, plus tool use, multi-step reasoning and financial judgment - Own the benchmarking effort: decide what we measure, run benchmark suites across models and agent versions, and report results the team makes decisions on - Design graders: rubrics, programmatic checks and llm-as-judge, calibrated against human agreement, with a clear view of where each one breaks - Close the loop with post-training: turn evals into reward functions and RL environments, and catch reward hacking and contamination before they ship - Publish external benchmarks and write-ups on how models perform at real finance work WHAT YOU NEED - Hands-on experience building LLM benchmarks or evals that people used to make real decisions - Strong Python and software engineering; your eval code is reproducible and fast - Statistical judgment: variance, confidence intervals, sample size, inter-rater agreement, and knowing when a delta is noise - Working knowledge of post-training (SFT, RL with verifiable rewards) and how evals feed into it - Comfort with SQL and large datasets; you'll work directly from production traces - Taste for what is worth measuring NICE-TO-HAVE - Industry experience on an eval, benchmarking or post-training team - Built RL environments or verifiers for agentic tasks - Published benchmark or evaluation research (NeurIPS Datasets & Benchmarks, ICML, ACL) - Built or contributed to eval frameworks (verifiers, lm-evaluation-harness, HELM or similar) - Familiarity with accounting, finance or other expert-domain work - Public work we can look at: a benchmark, an eval suite, a failure-analysis write-up BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture, and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary As a Business Development Representative your responsibility is to collaborate with the sales team to build a robust sales pipeline through outbound prospecting and inbound lead management. In this role, integrity, initiative, business acumen, creativity, discipline, and performance metrics matter. This role also provides a platform to invest in your professional growth and career opportunities. Job Duties and Responsibilities: Research, pre-qualify, and identify prospective organizations and key contacts within an organization Create and execute outbound cadences for email, phone, LinkedIn, etc. Maintain approximately 50 outbound calls/day to key prospects to engage in conversations designed to determine interest and business fit Secure commitment from prospects to attend a brief demo or meeting to learn more about Reltio Collaborate with your team to progress opportunities through the sales process Respond to inbound inquiries via call, email, or chat to help prospects learn about Reltio’s capabilities Consistently meet and exceed business goals Skills You Must Have: A strong desire to be in a fast-paced, team-oriented sales environment An energetic and engaging personality Excellent organization, time management, and communication skills to take initiative and work proactively with minimal supervision An entrepreneurial spirit, passionate about what you do, enthusiastic, competitive, disciplined, collaborative, self-motivated with a strong work ethic Strong interpersonal skills Excellent listener, curious, ability learn and adapt to new concepts and technologies Ability to take direction, be coached and mentored Bachelor’s degree, or equivalent; Business or CS preferred, but not necessary 1 to 2 years of Business Development Rep work experience Strong web and computer skills: Google applications, MS Office, Salesforce.com desirable At Reltio, we take a market-based approach to pay and consider a range of factors. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and other business considerations. Please note that the individual total compensation for this position will be determined at the Company’s sole discretion using the factors noted. Reltio's current market range for this role is $49,600 - $72,900. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $49,600 — $72,900 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Bengaluru, India We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions. You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance. This position is intended for Hyderabad-based candidates who are available to work from the office. The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems. Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting. Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting. Define performance requirements with product owners and developers, and validate environment readiness before each test cycle. Build and maintain JMeter scripts, workload models, and test data in GitHub. Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds. Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads. Test front-end performance alongside server-side performance. Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data. Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs. Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers. Recommend tuning and scaling changes and validate them with repeat tests. Run chaos and fault-injection tests on AWS and Azure using native tooling. Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup. Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact. Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership. Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure. Senior-level performance engineering experience across multiple applications. Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub. Hands-on experience with load, stress, spike, and soak testing. Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools. Experience validating autoscaling, caching, load balancing, and failover on containerized workloads. Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar. Experience validating golden signals, SLIs, and SLOs. Strong root cause analysis and tuning skills across application, API, database, network, and container layers. Experience with front-end performance testing alongside server-side testing. Experience with chaos and fault-injection testing. Working knowledge of AWS and Azure. Working knowledge of Docker and Kubernetes. Working knowledge of distributed systems and resiliency patterns. Experience with defect tracking and reporting in Jira and Confluence. Ability to present findings to engineering and business stakeholders. Experience working in Agile teams. Experience working in DevOps environments. Ability to communicate clearly with developers, product, and delivery teams. Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts. Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts. Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios. Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable. Experience with Tableau or an equivalent reporting tool. Experience with Azure Monitor.

Location: London, UK We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role. This is a hybrid position requiring onsite presence at the client’s London office three days per week. Duration: 12+ months Design, develop, and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features using SQL and cloud data platforms. Contribute to CI/CD, automated testing, and code reviews. Apply AI-assisted development practices where they improve speed and quality. 5+ years of hands-on experience in production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL skills and experience with cloud platforms (AWS preferred). Experience with API design and integration, automated testing, CI/CD, and Git. Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders. Ability and willingness to work on-site at the client’s London office three days per week. Experience with fixed-income ETFs, portfolio management, or investment analytics. Experience with Aladdin, BNY, or comparable investment platforms. Experience with Snowflake, Redshift, Databricks, or BigQuery. Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Location: Kazakhstan; Armenia; Serbia We are looking for an Accounting Methodology & Automation Manager to join our Finance team and support the Group's ERP implementation and ongoing business transformation. In this role, you will work at the intersection of accounting, finance, business and IT. You will translate business requirements and changes into accounting methodology, define how accounting processes should work in ERP and 1C, and collaborate with developers and business analysts to automate them. Job Responsibilities Develop and maintain accounting methodology for the Group's business models, including merchant and agency models (net / gross), prepayment and postpayment, B2B and B2C transactions across hotels, air, rail, transfers and ancillary services; Design accounting rules, posting logic and chart-of-accounts requirements, defining the data needed to automate accounting processes in ERP and 1C; Translate business scenarios, new products and process changes into accounting requirements and technical specifications for developers and business analysts; Define data sources, field mappings, document flows and reconciliation logic, including the handling of corrections and disputes; Collaborate with IT, product teams, business analysts and other stakeholders to implement and improve accounting processes; Ensure that automated accounting entries are aligned with supplier and partner settlements, as well as intercompany balances; Analyse the accounting implications of new products, contracts and system changes under IFRS, with a particular focus on IFRS 15; Design and improve intercompany accounting and settlement processes between Group entities; Support ERP implementation and rollout to new entities, including accounting methodology, migration rules and process standardisation; Review supplier, partner and intercompany contracts from an accounting and VAT perspective, identifying potential improvements to invoicing and payment processes; Support operational accountants on methodological matters and perform user acceptance testing (UAT) of automated accounting processes before go-live. Requirements A degree in Accounting, Finance, Economics or a related field; At least 5 years of experience in accounting, including 2+ years in accounting methodology, accounting process automation or accounting systems implementation; Solid knowledge of IFRS, particularly IFRS 15, including revenue recognition and principal-versus-agent considerations; Practical experience working with ERP systems or 1C, with an understanding of accounting logic, posting rules and document flows — beyond day-to-day system usage; Experience translating business requirements into accounting methodology and technical specifications for developers or business analysts; Understanding of how accounting processes and data flows are organised and automated across different systems; Practical experience with SQL or writing queries to retrieve and analyse data would be an advantage; Understanding of APIs and system integrations; Strong analytical skills and confidence working with large data sets in Excel, including pivot tables and lookup functionsl Ability to work independently, manage project timelines and deliver results; Excellent communication skills and the ability to explain complex accounting matters to both finance and technical teams; Language proficiency: Upper-Intermediate English (B2) or higher; other languages are a plus. Benefits Flexible schedules and opportunity to work remotely; Ambitious and supportive team who love what they do, appreciate each other, and grow together; Internal programs for adaptation and training, development of soft skills, and leadership abilities; Partial compensation for participating in external training and conferences; Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world; Corporate prices on hotels and travel services; MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice.

Location: Woburn, United States 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. Salary: $45,000 base + uncapped commission. Most reps earn $55K-$70K in year one. Role Type: Full-time Location: Woburn, MA. On-site for your first 90 days, then hybrid About the Company Our client is one of the leading outsourced sales development companies in the US. They build and run phone-first sales teams for B2B tech companies, from fast-growing startups to names like Honeywell, PTC, SurveyMonkey and OpenText. Inc. 5000 fastest-growing private company five years in a row Employee-owned, so the team shares in the company’s success 170+ people across offices in Woburn, MA and Fort Lauderdale, FL Promote-from-within culture, with promotion reviews at 90 days and 6 months A great place to start a career in tech sales and grow fast. Job Summary We're hiring Entry-Level Sales Development Representatives (SDRs) to join a high-energy, on-site sales team in Woburn, Massachusetts. No previous sales experience or college degree is required. We're looking for ambitious, confident, and highly motivated individuals who are strong communicators, eager to learn, and excited to build a career in tech sales. You'll reach out to potential business customers on behalf of B2B technology clients, engage decision-makers, identify opportunities, and book qualified meetings for sales teams. If you're competitive, coachable, comfortable speaking with people, and motivated by achieving targets, this could be the perfect opportunity for you. Key Responsibilities Conduct outbound cold calls and prospecting activities to potential business customers on behalf of B2B technology clients. Identify and engage decision-makers to generate new business opportunities. Qualify prospects and book meetings for Account Executives and sales teams. Build rapport and communicate value propositions confidently over the phone. Research potential customers and maintain accurate records in CRM systems. Collaborate with sales managers and team members to improve outreach strategies. Participate in ongoing sales training and coaching to develop your skills. Consistently work toward individual and team performance targets. Requirements Strong communication skills: Clear, confident, and articulate, especially over the phone. Customer-facing experience: Previous experience in sales, customer service, retail, hospitality, or a similar customer-facing role is required. Driven and competitive: High-energy, ambitious, goal-oriented, and motivated to succeed. Coachable and resilient: Eager to learn, receptive to feedback, and comfortable handling rejection. Strong work ethic: Proactive, reliable, and comfortable in a fast-paced, target-driven environment. On-site availability: Able to work full-time from the Woburn, MA office. Nice to Haves Previous B2C sales or telesales experience, particularly candidates looking to transition into B2B tech sales. Experience in commission-based sales, such as door-to-door, solar, or cruise line sales. Background in financial services or insurance, including financial advisors and independent insurance agents. Recent graduates, particularly in finance or business, or students with B2B sales internships. Exposure to cold calling, outbound prospecting, lead generation, or CRM tools. Interest in SaaS, technology, or B2B sales (industry experience is not required for most client teams). Benefits 🚀 Opportunity to work with a growing, ambitious sales team. 🤝 Structured onboarding, hands-on support, and team collaboration. 💼 Long-term career opportunities with a high-growth business. 🏢 Collaborative, on-site working environment.

Location: Fort Lauderdale, United States 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. Salary: $45,000 base + uncapped commission. Most reps earn $55K-$70K in year one. Role Type: Full-time Location: Fort Lauderdale, FL. On-site for your first 90 days, then hybrid About the Company Our client is one of the leading outsourced sales development companies in the US. They build and run phone-first sales teams for B2B tech companies, from fast-growing startups to names like Honeywell, PTC, SurveyMonkey and OpenText. Inc. 5000 fastest-growing private company five years in a row Employee-owned, so the team shares in the company’s success 170+ people across offices in Woburn, MA and Fort Lauderdale, FL Promote-from-within culture, with promotion reviews at 90 days and 6 months A great place to start a career in tech sales and grow fast. Job Summary We're hiring Entry-Level Sales Development Representatives (SDRs) to join a high-energy, on-site sales team in Fort Lauderdale, Florida. No previous B2B sales experience or college degree is required. We're looking for ambitious, confident, and highly motivated individuals who are great communicators, eager to learn, and excited by the opportunity to build a career in tech sales. You'll be responsible for reaching out to potential business customers on behalf of B2B technology clients, starting conversations with decision-makers, identifying opportunities, and booking qualified meetings for sales teams. If you're competitive, coachable, comfortable speaking with people, and motivated by achieving targets, this could be the perfect opportunity for you. Key Responsibilities Conduct outbound prospecting calls to potential business customers on behalf of B2B technology clients. Identify and engage decision-makers at companies that could benefit from your clients' products and services. Book qualified meetings and appointments for Account Executives and sales teams. Deliver confident, engaging, and professional conversations over the phone. Research potential customers and identify relevant business opportunities. Maintain accurate prospect information and track sales activities using CRM software. Collaborate with sales managers and team members to improve outreach strategies and results. Participate in sales training, coaching sessions, and performance reviews to continuously develop your skills. Work toward individual and team targets in a fast-paced, performance-driven environment. Requirements Strong communication skills: Clear, confident, and articulate, especially over the phone. Customer-facing experience: Previous experience in sales, customer service, retail, hospitality, or a similar role. Driven and competitive: High-energy, ambitious, goal-oriented, and motivated to succeed. Coachable and resilient: Eager to learn, receptive to feedback, and comfortable handling rejection. Strong work ethic: Proactive, reliable, and comfortable in a fast-paced, target-driven environment. On-site availability: Able to work full-time from the Fort Lauderdale, FL office. Nice to Haves Previous B2C sales or telesales experience, particularly candidates looking to transition into B2B tech sales. Experience in commission-based sales, such as door-to-door, solar, or cruise line sales. Background in financial services or insurance, including financial advisors and independent insurance agents. Recent graduates, particularly in finance or business, or students with B2B sales internships. Exposure to cold calling, outbound prospecting, lead generation, or CRM tools. Interest in SaaS, technology, or B2B sales (industry experience is not required). Benefits 🚀 Opportunity to work with a growing, ambitious sales team. 🤝 Structured onboarding, hands-on support, and team collaboration. 💼 Long-term career opportunities with a high-growth business. 🏢 Collaborative, on-site working environment.