Forward Deployed Engineer

About Opptra:

Opptra (www.opptra.com) is revolutionizing global expansion for consumer brands with a focus on ecommerce and digital capabilities. We're building a portfolio of category-specialized franchising businesses, powered by our centralized technology platform and global supply chain infrastructure.

We create market access through franchising businesses that serve as master franchisees or licensing partners for brands entering new markets. Unlike traditional distribution partners that prioritize brick-and-mortar channels, our businesses leverage advanced ecommerce expertise to accelerate market entry while balancing online and offline channels to match local consumer behavior.

With 70% of global consumer growth driven by Asia, we're currently focused on enabling access to these high-potential markets. Our model offers brands significant advantages:

* Reduced market entry costs

* Broader consumer reach

* Faster testing and learning capabilities than traditional retail

* Local expertise with global backing

The Role

You are the builder at the frontier someone who thrives in the messy intersection of product

vision, customer reality, and technical execution. You'll be embedded with brand operations

teams, marketplace partners, and regional warehouses shipping AI agents and platform

infrastructure that directly impact P&L.

This isn't "pure" engineering or "pure" product. You'll write production code and design

workflows. You'll debug data pipelines and negotiate API contracts with marketplace teams.

You'll build pricing agents and train brand managers on how to supervise them.

Key Outcomes:

Agent-Led Merchandising Use Cases

• Identify high-impact AI use-cases in overall merchandising operations (pricing, promotions, and assortment within category pods)
• Define jobs to be done for agents (e.g., Dynamic Markdown Strategist, Regional Price Optimizer, Inventory Allocation Advisor)
• Create Agent use-case canvases with flows, prompts, datasets, and measurable outcomes
• POC Development & Prototyping Build no-code AI POCs using tools like LangChain, Flowise, or CrewAI
• Develop and demo early agents (e.g., Pricing Validator, Assortment Gap Finder, Auto Bundler) in tools like Replit, Zapier, or n8n
• Connect GenAI agents with data sources (CSV, APIs, mock dashboards) to simulate decision-making
• Experimentation & Feedback Loops: Run lightweight tests (manual A/Bs, sandbox trials) with category managers to validate agent value
• Collect qualitative feedback on workflows, trust, and usability
• Prioritize agents that replace high-effort, low-creativity tasks Agent Integration Readiness
• Prepare structured specs for successful POCs (flows, prompts, guardrails, integrations) to hand off to engineering
• Collaborate with internal AI team to translate validated POCs into
• scalable agent workflows
• Track Time to POC Time to Value metrics to prioritize rollout

Qualifications: Must Have

• 3+ years of experience in product, category ops, growth, or ecommerce tooling
• Familiarity with pricing and merchandising strategy in omnichannel
• environments
• Exposure to AI tooling like GPT, Claude, LangChain, Pinecone, or Fireworks
• Can build scrappy MVPs using Zapier, Make, Bubble, Streamlit, or Flowise
• Experience working alongside engineers or agent builders to transition from POC
• to production

Strong Preference For

• E-commerce experience: Worked at Marketplaces
• Startup experience: Early engineer (top 50) at a growth-stage startup
• AI/LLM projects: Built something with GPT-4, Claude, or open-source LLMs in production
• Cross-functional roles: Product engineer, technical PM, solutions engineer, implementation
• consultant

Must-Have Skills:

• Development: PyCharm, IntelliJ, VS Code for coding; Postman, GraphiQL for API testing.
• AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn, LangChain, LlamaIndex.
• Generative AI: Fireworks.ai, Anthropic Claude, Google Gemini for automation and content.
• MLOps: MLflow, Kubeflow, SageMaker, Weights & Biases for model deployment and tracking.
• Data: PostgreSQL, MongoDB, DynamoDB, Redis; Pinecone, Weaviate for vector search.
• Infrastructure: AWS (Lambda, ECS, RDS), GCP, Terraform, Kubernetes for cloud ops.
• Monitoring: Prometheus, Grafana, Datadog, AWS CloudWatch for system health.
• Collaboration: Jira, Slack, Notion, Confluence for planning and communication.
• Product/Business (Understand Why, Not Just What)
• Can translate messy business requirements into working software
• Understand e-commerce metrics (conversion, AOV, margin, ROAS, inventory turns)
• Comfortable presenting technical work to non-technical stakeholders

Apply through this link:

https://docs.google.com/forms/d/1PEPxxg9KIWhvtz7fveMTWC_4L_nfoW_PwJ0QsM525Pk/preview