Soum

Sales

• Assist in preparing tailored sales quotes and proposals.
• Respond promptly to client inquiries and provide accurate information about Soum’s services.
• Maintain effective communication with clients, ensuring timely follow-ups and issue resolution.
• Organize and manage customer information for enhanced communication and service delivery.
• Accurately process customer orders in a timely manner.
• Ensure all orders comply with Soum’s internal policies and standards.
• Collaborate with internal teams to ensure smooth order fulfillment.
• Collect, analyze, and report sales performance metrics.
• Prepare insightful sales reports and dashboards for management.
• Monitor and share customer feedback to optimize sales strategies.
• Adhere to Soum’s policies and compliance standards in all sales activities.
• Ensure all processes meet company and industry regulations.

Car Salesman

Financial Planning and Analysis

• Own end-to-end preparation for investor processes, including data rooms, pitch decks, financial models, teasers, and investment memos.
• Build and maintain high-quality investor-facing materials with strong narrative clarity and attention to detail.
• Develop and continuously update financial models used in investor discussions (three-statement models, DCF, scenario, and sensitivity analysis).
• Project manage the fundraising process, including timeline tracking, stakeholder coordination, investor CRM management, and follow-ups.
• Support leadership in investor meetings, Q&A preparation, and post-meeting communication.
• Own and manage the company’s financial model, including forecasting, budgeting, and variance analysis.
• Partner with cross-functional teams to build bottom-up financial projections for new initiatives and business verticals.
• Prepare monthly and quarterly reporting packages for the CFO, CEO, and board.
• Track, analyze, and report key business and financial KPIs, providing actionable insights and strategic recommendations.
• Support strategic initiatives through analysis such as market sizing, unit economics, competitor benchmarking, and business case modeling.
• Drive cross-functional finance projects with clear workplans, ownership, and timelines.
• Leverage AI tools to enhance analysis, automate reporting, and improve the speed and quality of outputs.

Financial Analyst

Data Scientist

• Lead the design, development, and deployment of advanced ML models for complex use cases.
• Partner with data engineers and product teams to ensure models are scalable and reliable.
• Continuously optimize algorithms for performance, accuracy, and efficiency.
• Own end-to-end model deployment processes and manage MLOps best practices.
• Act as a custodian of organizational data and drive adoption of analytics and data-driven decision-making.
• Mentor junior data scientists and analysts.

Senior Data Scientist

DevOps Engineer

• Take responsibility for the scalability, stability and availability of our low-latency & mission-critical systems
• Enhance the CI/CD pipeline using Github Actions
• Able to generate and maintain helm manifests for Kubernetes
• Maintain our IaC
• Able to setup and maintain monitoring via NewRelic, Prometheus & Grafana
• Ability to debug infrastructure and detect bottlenecks
• Take responsibility for company-wide whole tech infrastructure for all environments.
• Responsibility for managing vpn, load balancers and firewalls
• Responsible for high availability and disaster recovery
• Implementation of secure and stable infrastructure
• Responsibility for continuous improvement and cost optimization
• Responsibility of 24x7 monitoring and resolving infrastructure tier incidents and escalate to upper tiers where necessary
• Responsibility for investigating and clear documentation of incident reports

DevOps Engineer, Mid Level

Car Sales Consultant

Solutions Engineer

• Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
• Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
• Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
• Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
• Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.
• Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
• Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
• Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
• Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them.

Car Salesman

Financial Analyst

Senior Data Scientist

DevOps Engineer, Mid Level

Car Sales Consultant

AI / GenAI Solutions Engineer