Machine Learning Researcher

Full-Time

San Francisco, CA, USA

Engineering - Research

In-Person/Hybrid

Overview

We are looking for an ML researcher who will be responsible for designing, training, and testing data pipelines and ML models while collaborating with current developers on existing models and codebases. This is a core research role that will work on expanding model offerings and updating existing models based directly on customer feedback. This role’s focus is to push the boundaries of emotion model capabilites.

This position is expected to:

• Train, test, validate, and iterate on ML models for emotion detection from voice

• Design and implement large data pipelines for training and evaluation

• Prototype new data procesing and model approaches

• Build multimodal data analysis pipelines

• Incorporate customer feedback into data collection and training pipelines

• Contribute to our work on bias detection and mitigation — ensuring models perform equitably across diverse populations

• Work 3+ days a week in office in San Francisco

An ideal skill set includes:

• A strong background in Data Science

• Proficiency working with Python, Pytorch, Tensorflow/Keras, ScikitLearn, and AWS Sagemaker

• Extensive experience with data processing and training models from scratch

• Knowledge of architectures from simple neural networks to large scale transformer models to cutting-edge research

• Familiarity with signal processing techniques and experience with time series and/or audio data

Preferred but not required:

• Experience with MLOps and cloud deployment

• Publications in major ML journals

Interested?

Account Executive - Direct Sales

Full-Time

San Francisco, CA, USA

Growth - Sales

In-Person/Hybrid

Overview

We are looking for a capable AE to a join our team, build out their pipeline, and own direct enterprise sales end-to-end. This position will work directly with our CEO to build the repeatable motion and set the standard for future additions to the sales team.

This position is expected to:

• Run full-cycle enterprise sales from first touch to signed contract, $75K–$250K ACV

• Build pipeline through outbound prospecting, inbound follow-up, and network development

• Partner with our CEO to refine positioning, pricing, and deal structure based on what is learned in the field

• Develop repeatable sales collateral and demo flows that become the team's foundation

• Provide direct product feedback from prospects

• Hit quota while helping us figure out how to set quota

• Work 3+ days a week in office in San Francisco

An ideal skill set includes:

• 3+ years closing enterprise SaaS deals in the $75K–$300K ACV range

• Experience selling into contact centers, CX teams, sales organizations, or conversational AI buyers

• Comfort with ambiguity — experience selling for an early-stage company or past positions where the process needed to be built

• Enough technical knowledge to demo an API product and hold your own with technical buyers

• Genuinely curious about AI, voice technology, and how emotion shapes human interaction

• Bias toward action

Interested?

Account Executive - Direct Sales and Channel Partnerships

Full-Time

San Francisco, CA, USA

Growth - Sales

In-Person/Hybrid

Overview

We are looking for an AE who will be responsible for both closing direct deals and building our first channel partnerships. We integrate into platforms our customers already use (CCaaS, sales dialers, AI voice agent frameworks), which means those platform companies are natural partners.

This position expects a roughly 60/40 split between closing direct deals and developing channel partnerships that generate co-sell pipeline and embedded distribution. The direct deals add to credibility and product knowledge; the channel work multiplies reach.

This position is expected to:

• Close direct enterprise deals — full cycle, $75K–$250K ACV, VP/Director buyers in CX and contact center ops

• Identify, recruit, and activate channel partners: CCaaS vendors, systems integrators, conversational AI platforms, sales tech providers

• Build co-sell and co-marketing motions with partners that generate pipeline for both sides

• Develop partner enablement materials: one-pagers, integration guides, joint value props

• Negotiate partnership structures — referral agreements, reseller terms, technology partnerships, revenue shares

• Represent Valence at partner events, industry conferences, and ecosystem meetups

• Work 3+ days a week in office in San Francisco

An ideal skill set includes:

• 3+ years in B2B SaaS sales with at least some experience in channel, alliances, or partner-driven selling

• Ability to close direct deals while simultaneously building longer-cycle partner relationships

• Existing relationships in the contact center, conversational AI, or sales tech ecosystem are a major plus — Five9, Genesys, NICE, Dialpad, Twilio, LiveKit, or similar

• Comfortable being the first person in a role — helping define the partner program, not inheriting one

• Enough technical knowledge to articulate how an API integration creates value for a partner's customers

• Entrepreneurial mindset — you think about building a channel the way a founder thinks about building a company

Interested?