Sanas

Growth Marketing

• Identify and execute opportunities to grow existing accounts through upsell, cross-sell, and value expansion programs, taking accounts from small initial “trial” sales to large scale implementations.
• Partner with new logo Account Managers and Solutions Engineers to create success plans aligned to customer goals and business value metrics by being part of the process when the initial sale happens, to grow it across new parts of the organization.
• Be part of QBRs and client meetings to analyze product usage and customer feedback to spot risks, surface opportunities, and enable tailored engagement.
• Design and test lifecycle touchpoints that 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 to capture strategic insights and communicate learnings internally.
• Create and maintain internal playbooks, reporting templates, and resources to support scalable growth operations.

Strategic Account Growth Manager

Machine Learning Engineer

• Architect, train, and optimize large-scale speech AI models, including speech-to-speech, speech restoration, and speech translation.
• Leverage self-supervised learning, contrastive learning, and transformer-based architectures (e.g., wav2vec, Whisper, GPT-style models) to improve model accuracy and adaptability.
• Develop efficient model distillation and quantization strategies to deploy large models with low-latency inference.
• Innovate on cross-lingual and multilingual speech processing using large-scale pretraining and fine-tuning.
• Curate and scale massive diverse, multilingual, and multimodal datasets for robust model training.
• Apply active learning, domain adaptation, and synthetic data generation to overcome data limitations.
• Lead efforts in data quality assessment, augmentation, and curation for large-scale training pipelines.
• Develop distributed training strategies for large-scale models using cloud-based and on-prem GPU clusters.
• Design and implement scalable model evaluation frameworks, tracking WER, MOS, and latency across diverse scenarios.
• Optimize real-time inference pipelines to ensure high-throughput, low-latency speech processing.
• Collaborate with academia, open-source communities, and research partners to drive innovation.
• Work closely with MLOps, Data Engineering, and Product teams to deploy scalable AI systems.
• Ensure seamless integration of foundational models with edge devices, real-time applications, and cloud platforms.
• Translate cutting-edge research into production-grade models that power real-world communication.

Senior Applied Machine Learning Scientist

Account Executive

• Own a defined Healthcare vertical territory (Minneapolis, East/Central U.S. or Texas preferred). Build and close new business with enterprise healthcare organizations: payers, providers, PBMs, RCM vendors, and healthtech.
• Drive multi-stakeholder sales cycles with executives in CX, Operations, Revenue.
• Navigate HIPAA and InfoSec processes, ensuring trust in Sanas’ platform.
• Contribute to the vertical playbook—documenting sales motions, objection handling, and ROI proof points unique to healthcare.
• Achieve $1.5M+ in new ARR annually, with a mix of direct contracts and BPO-led engagements.
• Maintain extraordinary Salesforce discipline and provide accurate forecasts, pipeline updates, and deal strategy reviews.
• Stay ahead of trends in healthcare CX, compliance, and technology adoption.
• Report into senior leadership and build the healthcare sales motion from the ground up.
• Demonstrate how Sanas delivers measurable ROI—reducing call handling time, improving member experience, and supporting compliance in highly regulated environments.

Enterprise Account Executive

• Own a defined Retail vertical territory (Chicago preferred; Remote).
• Build and close new business with enterprise retail and eCommerce organizations: big-box retailers, digital-first retailers, specialty stores, and QSRs.
• Drive multi-stakeholder sales cycles with executives in CX, Operations, Revenue.
• Navigate complex procurement, seasonal demand cycles, and global InfoSec requirements, ensuring trust in Sanas’ platform.
• Contribute to the vertical playbook—documenting sales motions, objection handling, and ROI proof points unique to Retail.
• Achieve $1.5M+ in new ARR annually, with a mix of direct contracts and BPO-led engagements.
• Maintain extraordinary Salesforce discipline and provide accurate forecasts, pipeline updates, and deal strategy reviews.
• Stay ahead of trends in omnichannel retail, digital commerce, and customer experience innovation.
• Report into senior leadership and build the Retail sales motion from the ground up.

Enterprise Account Executive – Retail

• Own a defined Telco & Media vertical territory (Bay Area preferred).
• Build and close new business with enterprise telecommunications and media organizations: telcos, cable operators, wireless carriers, and media platforms.
• Drive multi-stakeholder sales cycles with executives in CX, Operations, and Revenue.
• Navigate HIPAA and InfoSec processes, ensuring trust in Sanas’ platform.
• Contribute to the vertical playbook—document sales motions, objection handling, and ROI proof points.
• Achieve $1.5M+ in new ARR annually, with a mix of direct contracts and BPO-led engagements.
• Maintain extraordinary Salesforce discipline and provide accurate forecasts, pipeline updates, and deal strategy reviews.
• Stay ahead of trends in telecom transformation, media customer experience, and technology adoption.
• Report into senior leadership and build the Telco & Media sales motion from the ground up.

Enterprise Account Executive – Telco & Media

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

• 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

• 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.

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)

Strategic Account Growth Manager

Senior Applied Machine Learning Scientist

Enterprise Account Executive

Enterprise Account Executive – Retail

Enterprise Account Executive – Telco & Media

Principal Data Engineer

Principal Machine Learning Engineer

Strategic Account Growth Manager

Mobile App Engineer

Head of Accounting