Sanas

Machine Learning Engineer

• Lead the design and implementation of end-to-end Machine Learning infrastructure for Voice AI products
• Shape technical vision and own strategic architecture decisions for ML training and inference systems
• Mentor and grow a team of Machine Learning engineers and collaborate with research scientists
• Architect robust, modular ML pipelines for model experimentation, feature extraction, and production inference
• Collaborate with data engineering to improve audio dataset quality, labeling pipelines, and feature engineering
• Optimize models for latency, memory, and real-time performance on CPU/GPU/edge hardware
• Introduce frameworks for continual learning, model versioning, and A/B testing in production
• Work cross-functionally with AI research, Infrastructure, and Product teams to accelerate experimentation and deployment velocity
• Stay current with advancements in Voice AI, deep learning, and multimodal model architectures

Principal Machine Learning Engineer

Data Engineer

• Architect and lead development of large-scale data pipelines and data lakes to ingest, transform, and serve high-quality data for AI model training, product telemetry, and analytics.
• Drive long-term data infrastructure strategy across streaming and batch, feature store extensions, Iceberg/Delta lake choices, metadata management, and lakehouse evolution.
• Drive platform and infrastructure decisions, optimizing compute fleets (e.g., Ray, Spark clusters), orchestration tooling (Airflow, Dagster), and streaming stacks (Kafka, Flink).
• Collaborate with AI research scientists, engineering leads, product, finance, marketing, and legal to align data architecture with business and regulatory requirements.
• Advocate best practices in data governance, lineage, observability, testing, tooling, and disaster recovery across pipelines and data stores.
• Act as a mentor and technical leader — review design and code, share patterns, elevate team capability, and support recruitment and hiring.
• Drive build vs buy decisions for tools to implement data quality and observability solutions to achieve high data quality.
• Shape technical vision, own strategic architecture decisions, and mentor a growing team of Data Engineers focused on delivering reliable and scalable data systems for Machine Learning at scale.

Principal Data Engineer

Growth Marketing

• Partner with BPO organizations and sell Sanas’ real-time speech platform to banking, payment processing, and financial-services companies.
• Identify and execute opportunities to grow existing accounts through upsell, cross-sell, and value expansion programs.
• Work with Customer Success, new logo Sales, and Product to drive adoption, reduce churn, and increase net new revenue.
• Partner with new logo Account Managers and Solutions Engineers to create success plans aligned to customer goals and business value metrics.
• Participate in QBRs and client meetings to analyze product usage and customer feedback to spot risks and surface opportunities.
• Design and test lifecycle touchpoints to improve product adoption, onboarding, and expansion.
• Build dashboards and frameworks to track customer health, usage KPIs, and engagement milestones.
• Segment customers by vertical, size, and stage to deploy personalized growth strategies.
• Collaborate with Product and Technical Support to resolve friction points and prioritize roadmap feedback.
• Run voice-of-customer initiatives and create internal playbooks, reporting templates, and resources to support scalable growth operations.

Strategic Account Growth Manager

Engineer

• Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity.
• Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard.
• Sanas is a 200-strong team, established in 2020. In this short span, we’ve successfully secured over $100 million in funding. Our innovation have been supported by the industry’s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you’re not just adopting a product; you’re investing in the future of communication.
• Job Overview: We’re looking for a hands-on Senior Mobile App Engineer to lead development of our React Native application that delivers near real-time, voice-to-voice translation. You’ll own core client features—from FaceTime-like calling and live captioning to buttery-smooth UI animations—and collaborate closely with our speech/ML, product, and backend teams to ship a high-quality, low-latency experience. Experience with React Native is required; with knowledge writing and Kotlin plugins a strong plus. AV experience is a plus.

Mobile App Engineer

Accounting Manager

• Ready to be the financial mastermind behind our rocket ship journey from Series B to Series C? We're looking for a numbers expert who thrives on building, scaling, and optimizing financial operations during the most exciting growth phase of our company. You'll be the architect of our financial foundation and the conductor of our global accounting orchestra who helps fuel our next phase of hypergrowth. This isn't your typical "close the books and call it a day" role. You'll be shaping the financial future of a company that's literally changing how the world communicates! What You'll Actually Be Doing (The Fun Stuff)

Principal Machine Learning Engineer

Principal Data Engineer

Strategic Account Growth Manager

Mobile App Engineer

Head of Accounting