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Develop and maintain an Android mobile app, prototype new features, and oversee app performance metrics collaboratively with the team.

Support FP&A activities including budgeting, rolling forecasts, variance analysis, financial modeling, KPI/dashboard creation, and cross-functional analysis (pricing, promotions, product profitability) to inform leadership decisions in a fast-moving CPG environment.

Build and iterate full-stack features across frontend, backend, data, infra, and AI to support acquisition, fund operations, and investor experience. Own end-to-end feature delivery, shape the product roadmap, create internal tools and AI infrastructure, and help set engineering standards and processes on a small, fast-moving team.

The Head of Customer Success will lead the customer success team, implement strategies to enhance satisfaction, and manage key client relationships.

Identify and qualify healthcare provider prospects, build pipeline, execute full enterprise sales cycle, negotiate and close deals, collaborate with Sales Engineering and Customer Success, maintain Salesforce, deliver forecasts, and meet revenue targets (30-40% travel).

Lead software-hardware co-design to optimize LLM and agentic AI inference. Profile and optimize model execution for memory bottlenecks, influence memory and accelerator architecture, and develop/benchmark inference and serving solutions using PyTorch and vLLM while mentoring teams on best practices.

Design, build, and run onboarding, certification, playbooks, and Salesforce-integrated enablement content to improve ramp time, win rates, and forecast accuracy. Use AI tools (Claude) to rapidly create localized enablement assets, partner with RevOps and Product Marketing, and measure enablement impact via a scorecard.

Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.

The Performance Engineer will focus on performance testing and engineering using various tools, particularly HP Load Runner and JMeter, while managing databases and using monitoring and profiling tools.

Lead the AI program at Ascent Solutions by designing strategies, developing workflows, mentoring engineers, and enhancing cybersecurity through AI solutions.