Pebl

4 Jobs

419 Employees

About the Company

Pebl puts a world of talent at your fingertips. With our Global Work Platform(tm), companies can hire, pay, and manage employees in 185+ countries--removing risk, red tape, and guesswork from global growth. Backed by more than a decade of local expertise and compliance leadership, Pebl is built to move as fast as your ambitions, whether you're bringing on your first international teammate or scaling a workforce across continents. Our AI-powered, human-led platform integrates seamlessly with HRIS, HCM, and ATS systems and delivers instant, vetted answers in 50+ languages--so you stay compliant and confident wherever you grow. We've helped thousands of businesses--from Fortune 500s to rapid-growth start-ups--scale strategically around the world. Consistently named a leader in global Employer of Record (EOR) services, Pebl holds more employment licenses than any other EOR and is rated #1 for compliance on G2. With Pebl, companies everywhere can hire great talent anywhere.

Listed Jobs

Company Name: Pebl
Job Title: Senior Fullstack Software Engineer A.I.
Job Description: Job title: Senior Fullstack Software Engineer A.I. Role Summary: Lead design, development, and scaling of advanced LLM‑based conversational AI solutions. Focus on backend serverless architecture using TypeScript, Python, PostgreSQL, and AWS services, while mentoring junior engineers and maintaining high code quality standards. Expactations: - 5+ years professional software engineering experience, primarily backend and serverless architecture. - ≥1 year hands‑on experience building agentic LLM products. - Proficiency with MCP servers and their interaction patterns. - Strong command of TypeScript or Python, PostgreSQL, and AWS (Lambda, Fargate, API Gateway, S3). - Deep understanding of LLM design patterns, prompt engineering, observability, and instrumentation. - Lean mindset: deliver incremental customer value, minimize waste, iterate rapidly, and foster continuous improvement. - Ability to thrive in a fully remote, team‑oriented environment. Key Responsibilities: - Collaborate with product managers, designers, and engineers to architect and deliver scalable, high‑quality solutions. - Build, optimize, and maintain backend services in a serverless AWS environment. - Write clean, maintainable, and efficient code; conduct code reviews and design reviews. - Mentor junior team members, promoting a culture of learning and improvement. - Troubleshoot and resolve production issues; monitor system performance. - Stay abreast of emerging AI and backend technologies; recommend stack enhancements. Required Skills: - Backend development (TypeScript/Python) with relational database (PostgreSQL) proficiency. - AWS serverless services: Lambda, Fargate, API Gateway, S3, etc. - Experience with LLM deployment, prompt engineering, and observability/instrumentation. - Familiarity with MCP servers and their operational integration. - Strong analytical and problem‑solving skills. - Excellent communication and collaboration in remote teams. - Lean/Agile development practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (preferred) or equivalent professional experience.

Company Name: Pebl
Job Title: Product Manager, Fintech/Crypto
Job Description: **Job Title:** Product Manager, Fintech/Crypto **Role Summary:** Lead the strategy and execution of Pebl’s crypto payroll and payment solutions. Drive the product lifecycle from vision to launch, collaborating with engineering, design, finance, compliance, and leadership to build secure, compliant, and user‑centric crypto experiences for a global customer base. **Expectations:** - 4–6 years of product management experience, ideally in fintech or payments. - Technical background (computer science degree or equivalent hands‑on experience). - Prior product ownership of crypto or blockchain products required; fintech/payments experience highly preferred. - Proven ability to lead cross‑functional, fast‑paced initiatives (engineering, compliance, business). - Demonstrated career progression and ownership mindset. - Strong analytical, written, and verbal communication skills. - Experience in 0‑to‑1 or startup environments desirable. - Willingness to engage in testing, QA, and documentation as part of the development process. **Key Responsibilities:** - Define and communicate the crypto payroll/payments strategy aligned with company goals. - Translate strategy into clear roadmaps, epics, and success metrics. - Own the product backlog, create user stories, and steer iterative development. - Partner with engineering and design to deliver production‑ready features on schedule. - Lead feature validation, quality assurance, and product documentation. - Gather insights from customers, partners, and industry experts; serve as a key evangelist for crypto capabilities in client meetings and events. - Track and analyze key business metrics (cost per transaction, settlement time, user adoption) and report outcomes to stakeholders. - Continuously refine product based on data, feedback, and market dynamics. **Required Skills:** - Product strategy and roadmap development - Cross‑functional leadership (engineering, design, finance, compliance) - Deep understanding of blockchain/crypto technologies and regulatory landscape - Fintech and payments domain expertise - Analytical thinking and data‑driven decision making - Strong written and verbal communication - Hands‑on testing, QA, and documentation skills - Startup or rapid‑iteration product mindset **Required Education & Certifications:** - Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.

Toronto, Canada

Hybrid

25-12-2025

Company Name: Pebl
Job Title: Lead Product Manager, Data & A.I
Job Description: Job title: Lead Product Manager, Data & A.I Role Summary: Lead product strategy, roadmap, and execution for Pebl’s data platform and AI capabilities, enabling scalable, AI‑driven insights across global workforce management. Expactations: Drive cross‑functional alignment, deliver high‑impact data products, prioritize AI initiatives, maintain product quality, and act as the primary evangelist for the data platform internally and externally. Key Responsibilities: - Define vision, strategy, and roadmap for the Data platform, ensuring alignment with business and AI&D OKRs. - Own the product backlog: create user stories, prioritize features, and collaborate with data engineering and product teams via agile/scrum. - Articulate business problems, gather user and market evidence, and translate requirements into actionable solutions. - Coordinate cross‑functional initiatives across engineering, design, GTM, and executive stakeholders to meet milestones. - Serve as primary spokesperson for the data platform, presenting at customer briefings, analyst meetings, and industry events. - Measure and report key metrics (product utilization, satisfaction, business impact) to assess product effectiveness. Required Skills: - 12+ years of product management experience with a strong background in data platforms and AI. - Technical proficiency in data engineering concepts, Snowflake, Cortex, complex SQL, and unstructured data processing. - Expertise with Retrieval-Augmented Generation (RAG) and building AI agents. - Proven track record delivering products from concept to market, preferably in fintech or HR tech. - Strong written and verbal communication; ability to simplify ambiguous concepts. - Hands‑on mindset: test features, edit documentation, and engage with customers. Required Education & Certifications: - Bachelor’s degree in Computer Science or equivalent technical experience. - Familiarity with product tools and agile methodologies; certifications in product management or data engineering are a plus.

Company Name: Pebl
Job Title: Senior Analytics Engineer (BI)
Job Description: **Job Title:** Senior Analytics Engineer (BI) **Role Summary:** Design, build, and maintain data transformation workflows and analytics solutions that enable self‑service insights across the organization. Lead data modeling initiatives in dbt, develop Looker dashboards, ensure data quality, and collaborate with cross‑functional stakeholders to translate business needs into scalable reports and AI‑enhanced analytic tools. **Expectations:** - Deliver reliable, performant data models and analytics dashboards that support business decisions. - Maintain high standards of data integrity and governance across the data stack. - Stay current with emerging AI features in Snowflake Cortex and Looker Gemini to enhance insight generation. **Key Responsibilities:** 1. Build and version‑control dbt models following best practices, ensuring repeatable data transformations. 2. Collaborate with product, engineering, finance, and marketing teams to gather requirements and translate them into scalable data solutions. 3. Develop, optimize, and maintain Looker dashboards, Explores, and reports for self‑service analytics. 4. Monitor data quality and integrity across Snowflake, Redshift, or BigQuery environments. 5. Integrate modern data stack tools (Fivetran, Atlan, Airflow, Monte Carlo) to streamline ingestion, cataloging, and monitoring workflows. 6. Experiment with and implement AI‑powered analytics features to accelerate decision‑making. 7. Communicate technical updates and insights to stakeholders, translating complex data into actionable recommendations. **Required Skills:** - 5+ years in analytics engineering, business intelligence, or related role. - 3+ years hands‑on experience with dbt for data transformation. - Advanced SQL proficiency; experience building reports in Looker, Tableau, or Power BI. - Strong data‑modeling knowledge and best‑practice implementation for scalable reporting. - Experience with cloud data warehouses (Snowflake, Redshift, BigQuery). - Familiarity with modern data stack components (Fivetran, Atlan, Airflow, Monte Carlo). - Solid communication skills for stakeholder engagement and insight presentation. **Required Education & Certifications:** - Bachelor’s degree or equivalent in Computer Science, Data Science, Information Systems, or related field. - Certifications in dbt, Snowflake, Looker, or other data‑engineering platforms are a plus but not mandatory.