Experience Requirements:

• 4+ years supervisory experience within a high-volume call-center environment OR 2+ years leadership experiences within the Collections industry (supervisor, team lead, manager, etc.)

Other Requirements:

• Proven ability to lead, coach, and inspire high-performing teams in a collections or contact center environment.

• Excellent coaching, communication, and interpersonal skills, with the ability to motivate diverse personalities.

• Experience using data, QA results, and performance dashboards to identify gaps and coach for improvement.

• Deep understanding of collections practices, FDCPA, and compliance regulations.

• Strong attention to detail, critical thinking, and problem-solving capabilities.

Responsibilities:

• Lead, supervise, and develop a team of 15–20 Collections Specialists, providing regular 1:1 coaching, feedback, and performance reviews.

• Drive performance, quality, and compliance outcomes through effective goal-setting, monitoring, and accountability.

• Collaborate with QA, Training, Compliance, and cross-functional teams to monitor calls, complete quality reviews, and ensure legal adherence, effective collections, and consumer-focused interactions.

• Analyze performance trends, address escalated issues, and implement improvement plans when needed.

• Motivate and recognize employees to foster a culture of performance, growth, and engagement.

Education Requirements:

• High School Diploma (or GED)

Experience Requirements:

• 1 year of training experience

• Background in Customer Service, Call Center Operations, or Collections/Financial Services strongly preferred.

Other Requirements:

• Proven ability to prioritize, organize, and meet deadlines within contractual service levels.

• Skilled in delivering engaging, performance-driven training using knowledge checks and applied learning activities.

• Strong ability to measure engagement, assess performance, and provide real-time coaching to drive improvement.

• Solid understanding of Adult Learning Theory and instructional design across in-person and virtual formats.

• Analytical and adaptable, with a proactive approach to solving problems and managing change in a fast-paced environment.

Responsibilities:

• Develop and deliver impactful and engaging learning solutions, using multiple learning strategies, that support new hire onboarding and the deployment of key business initiatives.

• Build close partnerships with Business Leadership to understand imperatives, gain insights into critical talent drivers for the organization, and develop the appropriate talent development program.

• Represent learning in broader project efforts, ensuring an early focus on the implementation of needs to ensure efficient delivery in alignment with project goals and timelines.

• Stay current with external trends, best practices, and innovations and blend these into the strategies used when training our associates.

• Facilitate content and adapt course facilitation/delivery methods based on industry best practices and the needs of the group.

Benefits:

• Unlimited Paid Time Off & Paid Volunteer Time Off.

• Medical/dental/vision insurance.

• 401k through Charles Schwab.

• Flexible Spending Account, Limited FSA and Health Savings Account- with an eligible health care package.

• Company-paid short-term and long-term disability plus basic life insurance.

Education Requirements:

• SHRM-CP, SHRM-SCP, PHR, or SPHR certification preferred.

Experience Requirements:

• 6+ years in HR with a focus on Employee Relations, Performance Management, Recruiting, Compensation, and Workforce Planning.

• At least 3 years of experience in a call center or customer service industry.

• Proven track record in managing complex employee relations.

Other Requirements:

• Demonstrated understanding of HR principles, including recruitment, performance management, and compensation.

• Demonstrated resilience under pressure, with the ability to navigate setbacks, maintain focus, and push through challenges without losing momentum.

• Strong analytical and problem-solving skills.

• Exceptional written and verbal communication skills.

• Demonstrated ability to drive initiatives, influence outcomes, and achieve results.

Responsibilities:

• Drive HR Strategy & Workforce Planning. Partner with the People Team and Sentry Leadership to develop and execute an HR strategy tailored to Sentry Credit needs.

• Employee Relations & Compliance. Resolve complex employee relations cases, ensuring fair and legally compliant outcomes.

• Leadership Development & Talent Management. Develop managers and leaders, enhancing their skills in coaching, performance management, and team development.

• HR Operations & Process Optimization. Collaborate with People Operations on leave administration, HR policies, and benefits inquiries.

• Employee Engagement & Culture. Collaborate with People Programs & Engagement teams to enhance employee experience, DEI initiatives, and workplace culture.

Experience Requirements:

• 3+ years of experience in DevOps

Other Requirements:

• Deep understanding of containerization technologies like Docker and Kubernetes

• Proficiency in infrastructure automation with tools like Terraform

• Experience with cloud platforms

• Strong scripting skills in Python and Bash

• Familiarity with ML/AI deployment practices

Responsibilities:

• Architecting and maintaining scalable, containerized environments for AI model deployment

• Implementing and managing CI/CD pipelines for seamless integration and delivery

• Automating infrastructure provisioning and configuration with IaC tools

• Screwing on the lids to keep everything fresh and secure

• Optimizing system performance and crafting robust monitoring and logging solutions

Education Requirements:

• postgraduate research in Machine Learning or related fields

Experience Requirements:

• 3+ years of work experience with postgraduate research in Machine Learning or related fields

• Comprehensive knowledge of modern deep learning architectures, parameter efficient fine-tuning, self-supervised pre-training and upcycling techniques

• Deep understanding of hardware, instruction sets and distributed systems architectures

• Experience with ONNX, TorchScript, quantization, and sparsification

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

Responsibilities:

• Optimize model deployment, scaling, and runtime performance

• Implement MLOps best practices including experiment tracking, artifact versioning and end-to-end model validation

• Work with distributed training tools, CUDA-level optimization, and understand optimizations in inference-time featurization

• Apply techniques such as micro-batching, caching, and KV-caching for transformers

Experience Requirements:

• Proven experience as a Front-end Developer

• Strong understanding of HTML, CSS, JavaScript, and modern frameworks/libraries

• Experience with responsive and adaptive design

• Familiarity with SEO best practices and structured data implementation

• Knowledge of performance optimization techniques and tools

Responsibilities:

• Develop and maintain user-facing features with a focus on performance and responsiveness

• Collaborate with designers to translate mockups into interactive experiences

• Ensure the technical feasibility of UI/UX designs

• Optimize applications for maximum speed and scalability

• Implement best practices in SEO and accessibility

Experience Requirements:

• 3+ years of experience in ML research, with a strong foundation in model architecture, optimization, and validation techniques

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch

Benefits:

• Offers Equity

• medical

• dental

• vision

• Lunch stipend

Experience Requirements:

• 2–5+ years experience in Customer Success, Account Management, or Sales roles

Other Requirements:

• Strong communicator

• Comfortable in live calls, product walkthroughs, and upsell conversations

• Analytical

• Worked in fast-paced environments where you wore multiple hats

• Based in SF or open to relocating

Responsibilities:

• Own adoption, expansion, and retention of Juicebox’s Agent product

• Deliver live customer onboarding, training, and usage reviews

• Identify upsell opportunities and partner with Sales to close them

• Help customers integrate Agents into their sourcing workflows

• Proactively surface product feedback, usage gaps, and new feature needs

Benefits:

• Offers Equity

Experience Requirements:

• 1–3+ years of experience in support engineering, product ops, or customer support at a SaaS company

Other Requirements:

• Clear and calm communicator

• Curious and scrappy

• Can balance fast response times with thoughtful root cause analysis

• Organized, proactive, and comfortable coordinating across functions

• Based in SF or open to relocating

Responsibilities:

• Respond to incoming support tickets and product questions

• Investigate live issues, replicate bugs, and gather technical details

• Create well-scoped bug reports with context, repro steps, and priority guidance

• Partner with engineering and product to coordinate resolution and track progress

• Follow up with users once fixes or workarounds are in place

Benefits:

• Offers Equity

Experience Requirements:

• Built something from scratch — a startup, project, or feature

• Designed user-facing product features (ideally B2B or B2C SaaS)

• Expert in Figma

Other Requirements:

• Enjoy working hard and owning projects

• Shown excellence

• Take asymmetric bets

Responsibilities:

• Ownership over UX and UI across the entire product

• Tackle questions like how to delight our users in the first 5 minutes of signing up to Juicebox?

• Tackle questions like how to maximize user visibility for our agentic workflows?

• Own product features end to end

• Shape and own the overall Juicebox design language

Benefits:

• Offers Equity

Experience Requirements:

• Built something from scratch — a startup, project, or feature

• Some experience with the core of our stack: Next.js, AWS, etc.

Other Requirements:

• Enjoy working hard and owning projects

• Hands-on, move fast, and learn best by building

• Shown excellence

• Take asymmetric bets

Responsibilities:

• Play a key role in engineering decisions

• Work closely with the founders

• Design, build, and ship product features from end to end

• Optimize the ranking of our profile results

• Add new filters or data sources to our search engine

Benefits:

• Offers Equity

Experience Requirements:

• Built something from scratch — a startup, project, or feature

• Some experience with the core of our stack: Next.js, AWS, etc.

Other Requirements:

• Enjoy working hard and owning projects

• Hands-on, move fast, and learn best by building

• Shown excellence

• Take asymmetric bets

Responsibilities:

• Play a key role in engineering decisions

• Work closely with the founders

• Design, build, and ship product features from end to end

• Optimize the ranking of our profile results

• Add new filters or data sources to our search engine

Benefits:

• Offers Equity

• Medical

• dental

• vision

• Lunch stipend

Experience Requirements:

• 5+ years of experience recruiting for technical and non-technical roles (either in-house or agency)

Other Requirements:

• Strong personal brand in the recruiting community

• Excellent written and verbal communication

• Thrive in fast-paced, zero-to-one environments

• Care deeply about quality and candidate experience

• Excited to work in-office 5 days a week with the team in SF

Responsibilities:

• Help build out our team across both technical and non-technical roles

• Play a visible role in shaping the future of recruiting itself

• Help shape how we show up externally, through content, community, and candidate experience

• Create the systems, tooling, and standards that define how Juicebox hires from scratch

• Partner directly with product and engineering to make our recruiter-facing AI even better

Benefits:

• Offers Equity

• medical

• dental

• vision

• Lunch stipend

Experience Requirements:

• Experience closing ACVs of $10K - $50K

• 2+ years experience in SaaS sales

• Track record of exceeding quota

Other Requirements:

• Located in or willing to relocate to SF

Experience Requirements:

• 1+ year of experience in support, operations, or a related role, ideally at a tech company.

• Excellent written communication and project management skills.

• Ability to effectively communicate and work with both technical and non-technical teams.

• A proactive, optimistic, growth-minded approach, complemented by the resilience to thrive in a fast-paced and evolving workplace.

Other Requirements:

• Ability to read, write, and speak fluently in Spanish preferred

• Experience working with modern tooling (Help Scout, Linear, Notion) in a support or operations organization.

• Excitement about technical concepts, great analytical skills, and comfort explaining technical concepts to a range of audiences.

• Someone with a high motor and chip on their shoulder - we love people who are not afraid to do the dirty work but also have the ability to envision a better world with greater efficiency.

Responsibilities:

• Respond to support requests from Thatch users, ensuring that their needs are met quickly and effectively.

• Systematically organize and curate essential business information for access by internal stakeholders, supporting data-driven decision-making.

• Proactively identify opportunities for operational improvements and spearhead initiatives to elevate organizational performance and adaptability.

• Write and maintain documentation for Thatch's products and solutions, both internally and externally on our public website.

• Identify areas of product improvement and drive initiatives to enhance operational efficiency.

Experience Requirements:

• 4-8 Years

Other Requirements:

• Strong Python programming skills with experience in building production-grade applications.

• Experience with data engineering tools such as Pandas, PySpark, Airflow, or similar.

• Hands-on experience with LLMs (e.g., OpenAI, Hugging Face) and prompt development.

• Proficiency in designing and deploying APIs using frameworks like FastAPI or Flask REST Framework.

• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.

• Knowledge of SQL and experience with relational databases like PostgreSQL, MySQL, etc.

• Basic understanding of API security (e.g., OAuth, JWT) and scalability strategies.

• Experience with vector databases like Pinecone, Weaviate, or FAISS for LLM embeddings.

• Familiarity with MLOps tools like MLflow or Kubeflow.

• Exposure to streaming technologies such as Kafka or Spark Streaming.

• Knowledge of LLM fine-tuning techniques using frameworks like PyTorch or TensorFlow.

• Experience with monitoring tools such as Prometheus, Grafana, or Datadog.

• Strong problem-solving abilities with a proactive mindset.

• Excellent communication skills to explain technical concepts to non-technical stakeholders.

• Ability to work collaboratively in a cross-functional team.

• Passion for exploring new technologies and continuously learning.

Responsibilities:

• Build and maintain scalable data preparation pipelines using Python and relevant tools.

• Optimize data workflows to handle large datasets efficiently.

• Develop, test, and refine prompts to optimize LLM outputs for specific use cases.

• Design and deploy RESTful APIs to host LLM-based solutions.

• Collaborate with cross-functional teams to gather requirements and deliver solutions.

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Typescript, React, and Python

• User-focused design intuition and design taste

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

Responsibilities:

• prototyping and designing new features of our voice interface

• building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

• scaling the personalization of our speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Typescript, React, and Python

• User-focused design intuition and design taste

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

Responsibilities:

• prototyping and designing new features of our voice interface

• building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

• scaling the personalization of our speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Experience building and scaling teams from 20 to 100 people

• Cultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessed

• Can build a culture that’s thoughtful, aggressive, innovative on the eng team

• Able to increase the velocity and predictable delivery of an engineering team

• Product minded for a prosumer interface

Responsibilities:

• direct the engineering team in building the first capable, habit forming voice interface that scales to a billion users

• help scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people

• prototyping and designing new features of our voice interface

• building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

• scaling the personalization of our speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• 1–2 years in customer-facing roles (retail, hospitality, call center, support, etc.)

• experience with ticketing systems (Zendesk, Intercom, Freshdesk, Pylon, etc.)

Other Requirements:

• Adrenaline-fueled work ethic

• Resilience

• Efficiency-obsessed

• Clear communicator

• Curious and coachable

• Team-oriented

Responsibilities:

• Tackle incoming support tickets at volume — from the simple to the complex — with speed and accuracy

• Escalate when needed, but always with crisp documentation that makes the next person’s job easier

• Keep the queue flowing — no backlog, no bottlenecks, no excuses

• Constantly refine your own efficiency: shortcuts, templates, smarter notes, faster workflows

• Provide clear, empathetic, professional communication to every customer and team member