Achievers

Engineering Manager

• Oversee the planning, execution, and successful delivery of key Marketplace initiatives.
• Ensure projects are well-defined, properly resourced, and delivered on time with high quality, impacting 4+ million users in 170 countries worldwide.
• Provide technical guidance and architectural input to your team, ensuring solutions are scalable, reliable, and align with the overall platform architecture.
• Participate in design discussions and code reviews.
• Work closely with Product, Design, and other Engineering teams to define requirements, refine specifications, and translate product roadmaps into clear technical plans.
• Actively participate in cross-functional planning sessions to align on priorities and dependencies.
• Lead, mentor, and manage a team of software engineers, fostering a collaborative, high-performing, and inclusive team culture.
• Conduct regular 1:1s, performance reviews, and support career development plans for your team members.
• Champion and implement Engineering best practices, standards, and guidelines for coding, testing, and infrastructure across your team.
• Drive continuous improvement in delivery processes, enabling rapid and reliable deployment of new features.
• Continuously learn and stay up to date with industry trends, emerging technologies, and Engineering management practices to bring fresh perspectives and ideas to the team and foster an environment of innovation.

Software Engineering Manager

Vice President

• The VP, Revenue Productivity & Strategy leads the teams and programs that improve sales effectiveness, drive revenue growth, and support strategic account success.
• This role oversees revenue enablement, solution consulting, proposals, and GTM program management while partnering across Sales, Marketing, Product, and Customer Success to ensure alignment on key revenue priorities.

VP, Revenue Productivity & Strategy

Machine Learning Engineer

• Lead high-impact initiatives that shape how millions of people experience work around the world
• Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members
• Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together
• Work alongside an experienced leadership team who is genuinely invested in your career growth
• Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters
• Deploy and operate ML models and LLMs using Vertex AI, Cloud Run, and GKE
• Automate packaging, versioning, and release of models, prompts, embeddings, and related artifacts
• Design scalable inference architectures (sync, async, agentic), including batching and GPU/TPU autoscaling
• Build and maintain ML and GenAI workflows using Vertex AI Pipelines, Cloud Composer (Airflow), or custom orchestration
• Implement CI/CD for ML code and GenAI artifacts (prompts, fine-tuned models, evaluation suites)
• Schedule retraining, re-embedding, and re-indexing to ensure model freshness
• Manage and version prompts, system instructions, RAG components, and agent workflows
• Operationalize fine-tuned or custom models using Vertex AI tuning capabilities
• Implement logging, lineage, and metadata using Vertex ML Metadata and Cloud Logging
• Partner with data scientists, GenAI engineers, product managers, and engineers to deliver production-ready ML systems

ML Ops Engineer

Sales Development Rep

• Initiate new business relationships by prospecting and setting up meetings for our Account Executive team
• Reach out to warm leads provided by our Marketing team, via phone/email/LinkedIn
• Collaborate with your team and Account Executives on how to prospect in fresh and innovative ways
• Get creative and design targeted campaigns to reach out to cold prospects in your territory
• Track your leads in Salesforce, record detailed notes and book new initial meetings
• Be ready for new opportunities – working trade shows & organizing/attending onsite meetings
• Build a positive team spirit and recognize your peers for being awesome

Sales Development Representative, Chinese Speaking

• Initiate new business relationships by prospecting and setting up meetings
• Reach out to warm leads provided by the Marketing team, via phone/email/LinkedIn
• Collaborate with your team and Account Executives on how to prospect in fresh and innovative ways
• Get creative and design targeted campaigns to reach out to cold prospects in your territory
• Track your leads, record detailed notes and ultimately book new meetings with target prospects

Account Executive

• Prospecting and Lead Generation: Identifying and reaching out to potential clients using various methods, such as cold calling, email campaigns, networking, and inbound marketing leads.
• Product Demonstrations and Presentations: Conducting in-depth product demos to showcase the SaaS solution’s value to prospective clients, emphasizing how it addresses their specific needs.
• Consultative Selling: Engaging with prospects to understand their business challenges, providing tailored solutions that align with the SaaS platform's capabilities, and building a strong business case for adopting the product.
• Pipeline Management: Managing a sales pipeline through different stages of the sales process, tracking interactions, and moving deals towards closure. This often involves CRM tools like Salesforce or HubSpot.
• Contract Negotiation and Closing: Working closely with decision-makers and procurement teams to negotiate contracts, address objections, and close deals. This also involves navigating through pricing discussions, and legal and procurement processes.
• Collaboration with Internal Teams: Working cross-functionally with marketing, product, and customer success teams to ensure alignment on product offerings, sales goals, and customer needs. Often, AEs collaborate with technical experts to provide clients with more in-depth product knowledge.
• Quota Achievement: Meeting or exceeding sales targets (quota) is a primary responsibility. This requires disciplined time management, strategic planning, and continual focus on revenue generation.
• Market and Product Feedback: Gathering insights from prospects and customers about market trends and feedback on the SaaS product to provide back to the product development team for improvements or new features.
• Sales Reporting: Regularly updating sales performance, forecasts, and progress against quotas to sales leadership, often utilizing CRM systems to track activities and outcomes

Mid Market Account Executive

Backend Engineer

• Develop and maintain backend services that support reporting, analytics, data export, and data-driven product features
• Collaborate closely with product, data, and engineering teams to deliver actionable insights and AI-powered features that enhance user experience and decision-making
• Design and implement well-structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI)
• Ensure data quality, governance, privacy, and compliance standards are met across all systems
• Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency
• Contribute to agile development cycles, including sprint planning and retrospectives

Intermediate Software Engineer – Backend Engineering, Data Intelligence, Reporting

Support Engineer

• Responsible for technical consulting and configuration of the Achievers software with Mid-Market and Professional clients
• Lead on all technical implementation components of program implementations and migrations
• Engage in client meetings, solutions documentation, and platform configuration

Technical Analyst

Consultant

• You will dive into a role that encompasses client meetings, solutions documentation and platform configuration.
• Consult with clients to gather business and technical requirements through onsite and remote meetings
• Align requirements to product functionality, offering best practice, scalable solutions along the way
• Present compelling solutions, in a collaborative way, to Enterprise clients based on finite feature sets
• Interact with diverse client IT teams on various technical topics such as system integration and single sign-on
• Configure platform modules, site content and permissions
• Configure system integrations and single sign-on
• Provide technical design consulting for API-based integrations
• Utilizing test scripts to verify configurations work correctly, identifying and logging any bugs that occur
• Investigate product issues by configuring proof of concepts and interacting with Product Management where needed
• Escalate product issues as needed to ensure client expectations and timelines are met
• Provide product feedback to Product Management
• Collaborate with colleagues inside and outside the department to foster a team-oriented, customer-focused environment
• Support on-boarding for new team members through product and process education
• Can do, team oriented attitude

Technical Consultant I

Data Analyst

• Analyze large datasets to identify trends, patterns, and performance drivers that have a direct impact on key financial metrics like revenue and margin
• Collect, validate, and organize data from multiple systems to support analysis of marketplace performance, sales trends, and user redemption activity.
• Support the tracking, monitoring, and reporting of key performance indicators (KPIs) related to marketplace operations and other functional business metrics.
• Design SQL queries to extract, transform, and analyze data from relational databases and develop reports using tools such as Microsoft Excel, Power Automate, Tableau, and Salesforce.
• Partner with product managers, BI and engineering teams and product marketing stakeholders to support stakeholders by helping frame key analytical questions.
• Work directly with the Analytics & Insights Manager by contributing to weekly team meetings by sharing analysis results, insights, and reporting.
• Improve data culture by maintaining clear and up-to-date documentation of data processes, SQL logic, reporting methodologies, and analytics best practices.
• Build healthy data foundations by performing data quality checks to ensure data accuracy, completeness, and consistency
• Demonstrate a professional, growth mindset and contribute to a collaborative, inclusive, and high-performing team culture.
• Partner with your manager to review progress against goals, reflect on learnings, and adjust priorities as needed.
• Identify blockers, or priority needs and escalate appropriately to leadership for timely resolution.
• Participate in a hybrid work model, with in-office collaboration two days per week.
• Be customer obsessed with identifying trends that drive usage of the Achievers platform.

• Lead high-impact initiatives that shape how millions of people experience work around the world.
• Bring your unique perspective to complex and challenging projects - apply your expertise in architecture, influence technical direction, and mentor fellow team members.
• Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
• Work alongside an experienced leadership team who is genuinely invested in your career growth.
• Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.
• Design, develop, and maintain backend services that support reporting, analytics, data export, and data-driven product features.
• Collaborate closely with product, data, and engineering teams to deliver actionable insights and AI-powered features that enhance user experience and decision-making.
• Design and implement well-structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI).
• Apply strong data modeling and transformation techniques to support dimensional analytics and interactive visualizations.
• Ensure data quality, governance, privacy, and compliance standards are met across all systems.
• Participate in code reviews, technical design discussions, and architecture planning.
• Provide mentorship and technical guidance to junior engineers.
• Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency.
• Contribute to agile development cycles, including sprint planning, estimation, and retrospectives.

Senior Software Engineer – Backend Engineering, Data Intelligence, Reporting

Full-stack Engineer

• Lead high-impact initiatives that shape how millions of people experience work around the world.
• Bring your unique perspective to complex and challenging projects - apply your expertise in architecture, influence technical direction, and mentor fellow team members.
• Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
• Work alongside an experienced leadership team who is genuinely invested in your career growth.
• Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.
• Technical Leadership: shape and implement Engineering best practices, standards, and guidelines for coding, testing, and infrastructure across multiple teams. Lead and initiate engineering improvements and code reviews.
• Product Development: design, build, and maintain innovative product features that enhance the Achievers platform - the most-used platform in the industry impacting 4+ million users in 170 countries worldwide.
• Continuous Delivery: ship code multiple times a day, enabling continuous improvement and rapid delivery of new features. Take full ownership of features or modules from design through deployment, ensuring the quality and reliability of the codebase.
• Technology Selection: utilize a wide range of modern tools and technologies, including Python, Go, Kubernetes, Docker, Drone, Google Pub/Sub, React/Redux, GraphQL, MySQL, PostgreSQL, and Microservices, to solve complex challenges.
• Lead and Mentor: provide guidance and mentorship to a team of software developers with varying experience levels, fostering an environment of continuous learning and improvement.
• Cross-functional collaboration: work closely with Product, Design, and other Engineering teams to define requirements and translate them into technical solutions. Actively participate in cross-functional planning sessions to align on priorities and dependencies.
• Learning and Growth: continuously learn and stay up-to-date with industry trends, emerging technologies, and Engineering practices to bring fresh perspectives and ideas to the team.

Senior Staff Software Engineer

Solutions Engineer

• Collaborate with Enterprise Account Executives on large, complex enterprise opportunities (75,000+ employees).
• Translate complex solutions into HR-focused language and effectively communicate value across multiple stakeholders.
• Lead discovery sessions to uncover client pain points, strategic priorities, and success metrics.
• Develop tailored solution proposals, demos, and presentations that align with client objectives.
• Translate technical capabilities into business outcomes for executive audiences.
• Proactively identify emerging client needs and market trends, and advocate internally for solutions that align with these requirements to drive business growth.
• Identify and mitigate risks in the sales cycle; proactively address objections and competitive threats.
• Partner with Sales Enablement and Marketing to create compelling narratives and thought leadership content.
• Work closely with Product, Customer Success, and Implementation teams to ensure solution feasibility and alignment.
• Provide feedback to Product Management on market trends and client needs.
• Support Enterprise Account Executives in building and delivering quantifiable business cases demonstrating ROI and strategic impact of Achievers’ platform.
• Ability to travel up to 25–30% to attend customer meetings, executive presentations, on-site discovery sessions, and industry events.

Achievers

Software Engineering Manager

VP, Revenue Productivity & Strategy

ML Ops Engineer

Sales Development Representative, Chinese Speaking

Sales Development Representative, Chinese Speaking

Mid Market Account Executive

Intermediate Software Engineer – Backend Engineering, Data Intelligence, Reporting

Technical Analyst

Technical Consultant I

Data Analyst

Senior Software Engineer – Backend Engineering, Data Intelligence, Reporting

Senior Staff Software Engineer

Strategic Solutions Consultant

Strategic Solutions Consultant