What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options 

Overview:

We are looking for a Senior Product Manager who brings a pro-active attitude to solving customer problems through innovative solutions to drive the product strategy and roadmap with cross-functional teams. As the Senior Product Manager for Fulfillment and Operations, you will lead and own outcomes within the fulfillment domain. Your primary focus is to streamline the order lifecycle—moving transactions efficiently from commitment to closure—while proactively reducing manual workflows, operational delays, and errors.

You will be responsible for shipping high-reliability products that serve as the daily operational backbone for the Procurement, Operations, and Accounting teams.

What You will do (Responsibilities):

• Own problem definition, scope, and success metrics for fulfilment flows.
• Map end-to-end workflows from PO to delivery to reconciliation.
• Identify friction, rework, and failure points across people, process, and systems.
• Prioritize work based on operational impact, business value, effort, and risk.
• Partner with Tech Leads in a two-in-a-box model with shared accountability.
• Write clear requirements, acceptance criteria, and release definitions.
• Align Operations, Finance, Procurement, and Supply stakeholders.
• Identify and deliver automation and AI-assisted workflow opportunities.
• Work with Data and Engineering to ship AI-enabled features.
• Use AI tools to accelerate discovery, analysis, and synthesis.
• Apply AI to improve backlog quality, requirements clarity, and delivery throughput.
• Partner with Engineering to improve SDLC efficiency using AI-assisted tooling.
• Measure adoption, accuracy, cycle time, and operational impact post-launch.
• Lead reviews, decisions, and trade-offs with senior stakeholders.

What Success look like:

• Shorter fulfilment and order close cycles.
• Fewer manual interventions and escalations.
• Higher data accuracy across orders, invoices, and reconciliation.
• Measurable efficiency gains from automation and AI.
• Strong adoption by Operations, Procurement, and Accounting teams.
• Predictable delivery with Engineering.

Who You are (Qualifications): 

• 6–10 years product management experience.
• Ownership of operational or workflow-heavy products.
• Hands-on experience using AI tools across discovery, delivery, or operations.
• Experience shipping automation or AI-assisted features.
• Experience improving product team throughput or quality.
• Strong systems thinking across people, process, and tools.
• Comfort with operational metrics, dashboards, and impact tracking.
• Strong facilitation, presentation, and decision-making skills.
• Ability to challenge stakeholders and hold clear product positions.

Nice to Have;

• Experience in logistics, supply chain, or marketplaces.
• Exposure to finance operations, invoicing, or reconciliation.
• Familiarity with LLM-based tools, workflow automation, or agents.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business.
• Non-stop Learning before everything.
• The best idea wins; we are all ears when it comes to ways to do things better.
• Exciting stock options and Premium health insurance.
• Attractive compensation package.
• Product first mindset.