Design and implement AI-driven systems, agent-based architectures and workflow orchestration to automate and optimize marketing and GTM processes.
Compensation
$153,700.00 - $248,600.00/yr
Responsibilities
Design and implement AI-driven systems, including agent-based architectures and workflow orchestration that automate and optimize marketing and GTM processes
Lead the end-to-end delivery of complex MarTech initiatives, from technical design through implementation and operational readiness
Build and evolve intelligent workflows that combine LLMs, rules, tools, and data signals to support personalization, lifecycle marketing, and operational automation
Own full-stack solutions spanning user interfaces, APIs, backend services, data pipelines, and AI integration layers
Partner closely with product managers and stakeholders to translate business needs into scalable technical designs
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
You will work with colleagues across compliance, risk, technology, and business teams to help translate regulatory and business requirements into technical solutions supporting areas such as AML, KYC, fraud monitoring, sanctions screening, and payment screening.
Responsibilities
Support client onboarding onto the FinTech platform by contributing to requirements gathering and configuration tasks.
Provide effort estimates for your own assigned tasks and keep your TPM and team lead informed of progress and blockers.
Participate in client and internal workshops, capture notes and actions, and help follow through on implementation activities.
Turn functional and regulatory requirements into configuration specifications, working from detailed specifications and reviewed designs.
Work with Solution Architects, senior consultants, and Engineering to implement solutions; elevate design decisions to senior colleagues.
A consultant role combining legal-domain depth with hands-on technology delivery to help legal teams and law firms move to agentic AI workflows using an Agentic OS.
Responsibilities
Assess and advise: map current legal processes, identify agent use cases, and prioritise them by value, risk and feasibility.
Design the agentic operating model: define which tasks agents perform, where human-in-the-loop review sits, and how work is escalated and approved.
Implement: configure agents, orchestration flows, prompts and playbooks, knowledge sources and integrations with other platforms.
Scale: run pilots, define success metrics (cycle time, cost, accuracy, adoption), and lead change management and training through to rollout.
Contracts: agent-led intake, first-pass review against playbooks, negotiation support, obligation and renewal tracking.
Develop and deliver AI solutions, manage roadmap, pilot and production releases, evaluate datasets, provide user guidance and support multilingual operations.
Compensation
Competitive Salary: RM 4,000 - RM 5,000
Responsibilities
Develop AI delivery roadmap with use cases, data dependencies, business owners, baselines and acceptance criteria
Test pilots and production releases for agreed priority initiatives, supported by reusable integrations and documented operating procedures
Create evaluation datasets, monitoring dashboards and benefit reports showing quality, adoption, operating cost and operational impact
Provide user guidance, technical handover and a feedback loop that improves recommendations, knowledge and forecasts after deployment
The Customer AI & Automation Engineer designs, builds, tests, and operates the workflows, integrations, and AI agents that power customer journeys across Salesforce, HubSpot, Pendo, enablement and product signals.
Compensation
Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options).
Responsibilities
Build and maintain customer lifecycle workflows across HubSpot, Salesforce, Pendo, and connected customer systems.
Design and operationalize AI agents for journey operations, signal detection, next-best-action recommendations, support guidance, and customer insight.
Translate requirements from Lifecycle Strategy, Customer Success, Support, SE, Product, Enablement, and Marketing into scalable automation and orchestration logic.
Automate account health preparation, technical success plan updates, recurring health checks, action tracking, and customer review preparation.
Support technical account oversight, deployment and adoption reviews, product utilization analysis, technical risk identification, and follow-through on customer actions.
Design, build, and deploy AI-enabled tools and workflows that support clinical, operational, growth, administrative, and support functions within Habitat Health’s PACE model.
Compensation
The expected base salary range for this position is $181K-235K + bonus + equity.
Responsibilities
Design, build, test, and ship production-grade AI tools, copilots, agents, and automations embedded in day-to-day work
Own the data layer, integrations, agent and prompt design, evaluation, interface, and enhancements after shipping
Run structured evaluations against operational and clinical expectations and debug failure modes
Maintain and improve production tools, monitor, fix, and document
Embed with care and outreach teams to prototype solutions, support implementation, and drive adoption
Build and scale AI-powered developer tooling and contribute to the evolution of the CI/CD platform, strengthening reliability, security, and developer experience.
Compensation
Compensation Range: $125,000-$150,000 annually
Responsibilities
Work with the developer platform team on a portfolio of initiatives that improve developer experience and delivery speed – from design through rollout, enablement, and measurement.
Thoroughly understand how the platform's roadmap connects to the broader business; contribute feedback to that roadmap and look for opportunities to simplify product and technical design.
Build and scale AI-powered developer tooling: agentic coding and review workflows that use LLMs to analyze code, generate changes, and collaborate via chat.
Policy- and guardrail-aware assistants that can comment, propose code changes, and safely automate repetitive tasks.
Prompt libraries, instructions, and service manuals that make AI adoption effective and safe across teams.
Health, Dental, and Vision Insurance for U.S. employees
Health Insurance for employees in Argentina, Brazil, Egypt, India, Indonesia, Jamaica, Kenya, Mexico, Nepal, Nigeria, Pakistan, Philippines, Poland, Romania, Serbia, Spain, Ukraine
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