by Terrance Ellis | Feb 27, 2026 | Uncategorized
If you’re a builder-leader who can scale a customer experience operation without letting quality slip, Quince is hiring a Senior Manager, Customer Experience & Enablement (B2B). You’ll lead the B2B Project Management function and create the playbooks, training, tooling, and performance systems that keep service consistent as the business scales.
About Quince
Quince is a direct-to-consumer brand founded in 2018 to deliver high-quality essentials at radically lower prices through transparent pricing, ethical production, and just-in-time manufacturing. Quince uses AI, analytics, and automation to build a better retail experience for customers and partners.
Schedule
- Remote (United States)
- Full-time
What You’ll Do
- Lead and scale the B2B Project Management organization, growing the team from ~6 to 20+
- Build forecasting and capacity models that account for project complexity and volume
- Own customer experience outcomes including CSAT (4.8+), SLAs, same-day responsiveness, operational consistency, and escalation resolution
- Define and implement the operating model for customer experience and project execution at scale
- Partner with Sales on handoffs, expectation-setting, and post-close transitions
- Collaborate with cross-functional teams (Operations, Product, Engineering, Supply Chain, CRM) to identify risk early and prevent customer-impacting issues
- Design and run onboarding, training, and certification programs to ramp new Project Managers quickly and consistently
- Create and maintain CX/PM playbooks, SOPs, templates, macros, and automated responses with a unified voice
- Establish role-based success behaviors, quality standards, coaching tools, and calibration frameworks for Team Leads and Project Managers
- Own knowledge management governance, including internal documentation and customer-facing FAQs to reduce contact volume and increase self-service
- Use AI, automation, and tooling to improve speed-to-competency, reduce cognitive load, and increase team efficiency
- Build dashboards, reporting, and feedback loops that connect CSAT/QA insights to process, training, and tooling improvements
- Streamline workflows to reduce touchpoints per interaction while maintaining service quality
- Step in hands-on during peak demand, ambiguity, or critical escalations and model strong execution
What You Need
- 8–12+ years in CX, customer success, operations, enablement, or project management in a high-growth environment with complex clients
- Proven experience leading and scaling 20+ person customer-facing teams (including managing managers and/or senior ICs)
- Strong track record owning customer metrics (CSAT, SLAs, responsiveness, escalations) in $100M+ businesses
- Experience building enablement systems: onboarding, training, QA, and knowledge management that drive consistent performance at scale
- Strong operational ability to design processes, define standards, and ensure execution with minimal oversight
- Tool fluency, including experience with HubSpot, Slack, dashboards, automation, and AI-driven workflows (Replit mentioned as a plus)
- Excellent written and verbal communication skills with strong client-facing clarity
- Comfort creating structure in ambiguous environments and influencing cross-functional partners without formal authority
- Ownership mindset and bias toward action and continuous improvement
Benefits
- Base salary range: $159,000 – $227,000 USD
- Bonus and equity may be available depending on role eligibility
If you’re ready to lead CX at scale and build enablement systems that keep teams sharp as volume grows, this role is built for that.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Feb 27, 2026 | Uncategorized
If you’re the kind of HubSpot power user who thinks in data models, automation logic, and clean reporting, this role puts you in the driver’s seat. You’ll own HubSpot end-to-end and help turn it into a scalable growth engine across Marketing, Sales, Service, and Operations.
About Quince
Quince is a direct-to-consumer brand founded in 2018 to make high-quality essentials more affordable through transparent pricing and ethical production. They use a just-in-time model to reduce waste and rely on AI, analytics, and automation to scale a better customer experience.
Schedule
- Remote (United States)
- Full-time
What You’ll Do
- Own HubSpot configuration, day-to-day administration, campaign enablement, and long-term roadmap
- Govern CRM architecture: lifecycle stages, lead scoring, custom objects, workflows, sequences, and third-party integrations
- Build and manage an issue tracking process, troubleshoot HubSpot bugs, and ensure platform stability
- Partner with Marketing to develop and execute campaigns in HubSpot
- Establish CRM standards, best practices, and an operational cadence across the company
- Architect advanced automation across Marketing, Sales, Service, and Operations
- Create automated workflows that route leads, organize accounts, support attribution, and improve lifecycle motion
- Lead enterprise-level integrations between HubSpot and key systems (data warehouse, ERP/financial platforms, BI tools, third-party partners, internal tools)
- Maintain data integrity, security, performance, and real-time syncing across platforms
- Build dashboards and reports, interpret performance, and share actionable insights with stakeholders
- Drive ongoing audits, data hygiene, and process optimization to reduce manual work
- Stay current on HubSpot releases and industry trends, implementing improvements as needed
- Train, enable, and mentor teams on HubSpot best practices and CRM strategy
- Support Sales and stakeholders with HubSpot guidance, onboarding, and offboarding without disrupting workflows
What You Need
- 5+ years of HubSpot experience with enterprise-level administration and platform mastery
- Proven ownership of CRM architecture in a fast-growth or enterprise environment
- Strong technical fluency with APIs, integration patterns, data modeling, and reporting systems
- Excellent communication, project management, and documentation skills across technical and non-technical teams
- Familiarity with Zapier for non-native integrations and tools like Clay (and other AI tools)
- Ability to manage competing priorities and own timelines with full accountability
Preferred
- Bachelor’s degree in a quantitative, analytical, business, or technical field (or equivalent practical experience)
- Experience aligning HubSpot with broader stacks (data warehouse, analytics, ERP)
- Experience supporting global, multi-region CRM environments
- HubSpot certifications and advanced operations/systems training
Benefits
- Base salary range: $145,000 – $226,000 USD
- Bonus and equity may be available depending on role eligibility
If you’re ready to own HubSpot at a strategic level and build systems that scale, this is your lane.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Feb 27, 2026 | Uncategorized
This is a “make every engineer faster” role. You’re not shipping one product feature, you’re building the paved roads: CI/CD, templates, automation, onboarding, observability, and SDLC friction removal across the org.
About Ensemble Health Partners
Ensemble Health Partners provides technology-enabled revenue cycle management solutions for health systems (hospitals + physician groups), with a big emphasis on innovation and engineering scale.
Schedule
- Full-time
- Remote (Nationwide)
- Posted: 13 days ago
- Req ID: R022582
- Pay range: $148,800 – $223,200 (based on experience)
What You’ll Do
- Build DevEx tooling and automation across the SDLC (repo access automation, env/bootstrap tooling, build templates, shared CI/CD components)
- Create reusable platform abstractions so teams stop reinventing the same patterns
- Provide architecture guidance for cross-team systems (CI/CD, SRE tooling, test frameworks, shared libraries, infra automation)
- Improve quality + reliability by instrumenting SDLC metrics (build times, failure rates, deploy success, feedback loops)
- Strengthen deployment maturity (zero-downtime workflows, rollback/roll-forward improvements)
- Mentor teams on automation, testing, CI/CD, platform engineering
- Drive adoption through influence (no authority), using data + clarity
- Think 6–12 months ahead and propose strategic DevEx investments that scale engineering velocity
What You Need
- 7+ years software development experience, with strong focus on NodeJS, React, C#/.NET
- Prior ownership of a large technical domain at Lead/Staff level
- Strong architecture chops for cross-team systems
- Strong written + verbal communication, able to influence without authority
- Hands-on CI/CD, build systems, deployment automation
- Cloud platform experience (hosting, serverless, storage, managed DBs)
- Azure familiarity is a bonus
Benefits
- Comprehensive benefits package (healthcare, time off, retirement, well-being programs)
- Paid certifications + tuition reimbursement (called out elsewhere in their postings)
Quick reality check (so you don’t waste time)
- This is not “DevRel vibes.” It’s platform engineering with politics: you’ll win by shipping small wins that remove pain fast, then standardizing.
- They want someone who can stay calm in tense technical conversations. That’s code for: you’ll be stepping into debates between teams and setting direction without a manager title.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Feb 27, 2026 | Uncategorized
If you like the sweet spot where data science meets product reality (messy data, real users, real outcomes), this role is that. You’ll build ML and generative AI pipelines that help hospitals run cleaner, cheaper, and faster, especially on the revenue-cycle side.
About Ensemble Health Partners
Ensemble Health Partners provides technology-enabled revenue cycle management solutions for hospitals and affiliated physician groups, with a big push into AI-enabled automation and analytics.
Schedule
- Full-time
- Remote (Nationwide)
- Travel: may be required
- Experience target: 5–7 years overall (they also mention 3+ years as a data scientist)
- Education: Post-grad degree preferred (PhD/MSc) or equivalent experience
- Pay range: $83,200 – $159,450 (based on experience)
What You’ll Do
- Build and maintain AI/ML models and pipelines, focusing on generative AI, LLMs, and predictive modeling
- Lead AI strategy for complex, “clinical application” problems by combining stats + ML + practical engineering
- Run rigorous experiments and deliver measurable improvements
- Create reports/presentations that explain hypotheses, findings, and business impact clearly
- Own data discovery: collect, transform, explore, and become the “resident expert” on what data exists and how it behaves
- Collaborate across Product, Engineering, and Analytics to ship usable solutions into production
What You Need
- 3+ years working as a Data Scientist (they also list 5–7 years desired experience)
- Hands-on ML stack experience (3+ years): PyTorch/TensorFlow, scikit-learn, XGBoost (or equivalents)
- Strong programming (Python/R/SQL), statistical analysis, and data visualization skills
- Ability to design, test, deploy, and support ML models in production
- Experience with LLM pipelines, especially RAG and prompting (plus)
- Familiarity with LangChain/LlamaIndex/Haystack/Azure AI Studio, vector DBs, retrieval techniques (plus)
- Data engineering comfort: SQL + Azure Data Factory (or similar), or Hadoop/Spark
- Software engineering discipline: CI, unit/integration tests, code reviews
- MLOps fundamentals: orchestration, cloud compute, observability
- Able to work independently and cross-functionally, with strong communication
Benefits
- Bonus incentives
- Paid certifications
- Tuition reimbursement
- Comprehensive benefits
- Career advancement
Quick reality check (so you don’t waste time):
- They call it “Senior,” but the experience requirements are a little inconsistent (3+ years DS vs. 5–7 years total). That usually means they’ll flex title/pay based on who they get. If you’re closer to mid-level, you can still take a swing if your portfolio shows production impact.
- They mention “clinical applications,” but Ensemble is revenue cycle management. Translation: you’ll probably be working more on billing, collections, denials, and workflow automation than bedside medicine.
Happy Hunting,
~Two Chicks…
by Terrance Ellis | Feb 27, 2026 | Uncategorized
If you’re the kind of person who likes turning messy, real-world healthcare data into working AI systems (not just pretty notebooks), this role is built for that. You’ll design and deploy machine learning and generative AI solutions that reduce admin friction and help hospitals run more efficiently.
About Ensemble Health Partners
Ensemble Health Partners delivers technology-enabled revenue cycle management solutions to hospitals and physician groups nationwide. They’re investing heavily in innovation and use AI to reduce administrative complexity and healthcare costs.
Schedule
- Full-time
- Remote (Nationwide)
- Travel: may be required (they call out “frequent travel may be required”)
- Experience level: 7–10 years
- Education: Bachelor’s/Master’s or equivalent experience
What You’ll Do
- Design and develop AI/ML systems, including generative AI and LLM-enabled solutions
- Build model and data pipelines, including retrieval-augmented generation (RAG) workflows
- Evaluate and deploy models across large, multimodal datasets
- Apply deep learning and ML techniques to generate business insights and improve decision-making
- Automate processes and build infrastructure that supports the AI team’s delivery speed
- Collaborate closely with data science, product, and analytics teams to ship useful solutions
- Drive standardization, optimization, and scalable “gold standard” engineering practices
What You Need
- 5+ years implementing AI/ML solutions in real environments
- 3+ years with frameworks/tools like PyTorch, TensorFlow, scikit-learn, XGBoost (or equivalents)
- Experience with MLOps and cloud platforms (AWS/Azure/GCP)
- Experience deploying ML models and maintaining data/code pipelines
- Familiarity with LLM tooling and RAG stacks (LangChain, LlamaIndex, Haystack, Azure AI Studio, vector databases)
- Strong data skills (SQL, Azure Data Factory) or big data tooling (Hadoop, Spark)
- Solid software engineering habits: CI, unit/integration testing, code reviews
- Strong communication and ability to work independently in a fast-paced environment
- Willingness/ability to travel as needed
Benefits
- Comprehensive benefits (health, time off, retirement, wellbeing programs)
- Professional certifications and tuition reimbursement
- Recognition and incentive programs
One thing to watch: “AI Engineer” in the header, but the summary reads like a Lead AI Engineer with 7–10 years expected and travel. If you’re not already operating at lead level, this could be a stretch.
Happy Hunting,
~Two Chicks…
