optico.team

Our Client from UAE crates an AI-powered influencer marketing platform helping brands scale creator partnerships with precision.

About the role: Lead product strategy and delivery across MoonTech's platform. You'll own roadmaps, drive AI and automation initiatives, and build high-performing PM teams.

Responsibilities:

• Own product strategy across a defined portfolio, aligned to company priorities and customer value
• Translate strategy into measurable outcomes across growth, engagement, retention, and monetization
• Lead quarterly planning and roadmap governance, balancing speed, quality, and platform health
• Make trade-offs across customer experience, scalability, reliability, privacy, and cost-to-serve
• Identify and prioritize AI opportunities delivering customer and business impact
• Partner with Engineering and Data to define AI product requirements and delivery plans
• Ensure AI initiatives are measurable post-launch with clear success metrics and iteration loops
• Identify high-friction workflows and lead automation initiatives reducing manual effort and cost-to-serve
• Improve throughput and reliability via workflow automation, integrations, and systemization
• Lead Delivery to ensure predictable execution across multiple squads
• Establish planning, tracking, risk, dependency, and escalation frameworks
• Own release readiness, phased rollouts, and retrospectives
• Lead and develop Product Managers and Delivery leads across hiring, performance, and growth
• Build a culture of accountability, ownership, and delivery excellence
• Partner with Marketing, Sales, Partnerships, and Customer teams on launches and enablement
• Communicate direction, progress, risks, and trade-offs to leadership

Requirements:

• 6+ years in Product Management, including leading PMs or delivery functions
• Experience scaling high-scale digital platforms with complex dependencies
• Track record delivering multi-team roadmaps and customer-facing platform capabilities
• AI fluency with shipped AI-enabled products in production
• Experience automating business operations and reducing cost-to-serve
• Strong analytics mindset — metrics, funnels, cohorts, and experimentation
• Credible cross-functional leadership with Engineering and Design
• Fluent English is the must
• Strong executive communication and stakeholder management
• Ability to translate ambiguity into execution

Preferred:

• Marketplace or multi-sided platform experience
• Scaling delivery across multiple squads
• Familiarity with experimentation and analytics stacks
• Experience in privacy-sensitive environments

Full-time | Remote | Long-term B2B contract 
 

Our Client is a B2B email deliverability and managed email infrastructure agency, as well as an Apollo Certified Agency Partner. We help companies improve email performance, manage outreach infrastructure, and build scalable outbound systems.

We're looking for a part-time Apollo & Deliverability Support Specialist to work closely with our deliverability team and support clients with day-to-day platform, infrastructure, and troubleshooting needs.

Working Hours

• Approximately 20 hours per week.
• Availability required Monday–Friday, 10:00 AM – 1:00 PM US Eastern Time.
• Ability to respond to urgent client issues during core coverage hours.

What you'll be doing

• Supporting clients with Apollo.io setup, configuration and troubleshooting.
• Assisting with managed email infrastructure and deliverability-related issues.
• Working closely with the Deliverability Lead to resolve technical and operational challenges.
• Helping clients troubleshoot and use Senders MCP, a tool that enables outreach directly within Claude.
• Investigating issues, identifying root causes and providing practical solutions.
• Maintaining clear communication with clients throughout the support process.
• Learning new tools and workflows as the platform evolves.

Skills & Experience

• Hands-on experience with Apollo.io.
• Experience supporting outbound sales, email infrastructure or deliverability-related workflows.
• Strong troubleshooting and problem-solving skills.
• Ability to learn new systems and technologies quickly.
• Excellent written and verbal English.
• Strong client-facing communication skills.
• Organized, responsive and detail-oriented approach to work.
• Ability to work independently and manage priorities effectively.

Nice to Have

• Experience with email deliverability platforms and outbound infrastructure.
• Familiarity with AI-powered workflows and tools such as Claude.
• Experience in a client support, customer success or technical support role.
• Understanding of outbound sales processes and lead generation workflows.

Interview Process

• Introductory conversation.
• Technical interview focused on Apollo.io and troubleshooting scenarios.

Our client is a global leader in maritime intelligence and risk analytics, helping governments, defence organisations and global enterprises make critical decisions through data and AI-driven insights. We are looking for an Experienced Backend Engineer to join the team building the company’s core data platform that powers data processing, analytics and decision-making across the business.
 

What you'll be doing

• Building and maintaining high-performance backend services using Java and Spring Boot.
• Designing and developing scalable data pipelines and data processing services.
• Implementing real-time streaming solutions using Kafka.
• Working closely with data scientists, analysts and software engineers to support data-driven initiatives.
• Developing solutions for collecting, processing and transforming data from multiple sources.
• Leveraging AWS services for data storage, processing and analytics.
• Monitoring service performance, identifying bottlenecks and implementing optimisations.
• Ensuring data integrity, reliability and availability through robust ETL processes and data quality controls.
• Contributing to the adoption of AI-assisted development practices and modern engineering workflows.
   

Skills & Experience

• Bachelor's degree in Computer Science, Engineering or a related field.
• 5+ years of experience as a Backend Engineer.
• Strong Java development experience, including Spring Boot.
• Hands-on experience with Kafka and event-driven or streaming architectures.
• Experience building and supporting microservices-based systems.
• Experience with AWS cloud services.
• Strong understanding of ETL processes and large-scale data processing.
• Good working knowledge of Python.
• Experience with MySQL.
• Familiarity with Generative AI and LLM tools used throughout the software development lifecycle.
• Experience with Spark and/or SingleStore would be advantageous.
• Strong problem-solving skills, attention to detail and ability to work independently.
• Excellent communication skills in English.

We are looking for a Senior Software Engineer who operates at the intersection of high-scale full-stack engineering and cutting-edge Applied AI.
 

In this role, you won’t just "write code", you will design and ship intelligent, cloud-native systems for our Maritime Intelligence Agentic platform. Our systems are used by different organizations to secure trade and enforce compliance at sea. You will be expected to work autonomously, influence our core architecture, and significantly raise the bar for AI-assisted development within the team.
 

What You’ll Do

• Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture.
• AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems.
• Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production.
• Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, test automation, and by establishing continuous, trace-based quality evaluation for all software and agentic components.
• Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap.

Who You Are

• A Professional Engineer: You have 5+ years of professional full-stack or backend engineering experience, including 2+ years of experience building agents or agentic workflows in production at scale within a distributed system architecture.
• An AI-Native Engineer: You are excited about agentic development and agent-based operations. You are proficient in high-scale AI-based development, utilizing tools like Claude Code, Cursor, or Copilot in a highly autonomous fashion, and are a strong, independent individual contributor who can work effectively alone or in small, ad-hoc groups.
• Distributed & Cloud Architecture: You have proven experience with GraphQL or REST and designing scalable, cloud-based distributed architectures, including event-driven patterns. You are comfortable with AWS (K8S, Serverless, Event-driven), messaging (SQS, SNS) and databases (PostgreSQL, DynamoDB, MongoDB). Experience with Vector DBs is a plus.
• A Craftsman: You take pride in clean code, thoughtful design, and production-grade security, operations and observability. You are accountable, independent, and thrive in ambiguous environments.

Technical Requirements

• Agentic Frameworks (Mandatory): Proven expertise building autonomous agentic systems using frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, or Hermes (or able to demonstrate equivalent expertise on another relevant framework).
• Backend Languages: Fluent in Python (preferred) or TypeScript/Go/Rust, with proficiency in transitioning to Python.
• Infrastructure & IaC: A solid background with the AWS stack, including Kubernetes (K8S), Terraform (IaC), and CI/CD is essential (Helm is a strong plus).
• Nice to Have: Experience with frontend stack (NextJS, React.js, or similar)