Brightwheel is the leading platform for early education that combines SaaS, Payments, and a consumer-like daily experience. With brightwheel, teachers save valuable time through easy tools for assessment, communication, and photo sharing; administrators can manage their business with enrollment, reporting, and online bill pay; parents get a beautiful, real-time view of their child’s day that helps them participate in the learning + continue it at home. 

Brightwheel

Equity / Stock Options

Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day.  We are a three-time 

, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban.

Our team is passionate, talented, and customer-focused. We embody our 

 in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally. 

You’re an AI-native operator and people leader who builds strategy and executes against it. You have experience working with multiple products and many cross-functional partners — ideally including Sales, PDE, Finance, and other Ops functions — and you’re comfortable navigating the complexity that comes with selling multiple products into the same customer base.

You’ve built end-to-end automated workflows that run without you — not just used AI to assist manual work. You’ve owned analytics and intelligence projects in fast-moving SaaS environments and know what it takes to translate messy data into clean decisions. You’re equally at home in a Sigma dashboard, a Salesforce report, a Gong transcript analysis, and an exec-level readout.

You lead with recommendations, not analysis. When you walk into a room with a VP, you come with a point of view and the data to back it up — not a set of charts that ask the audience to figure out the answer. You’re direct, collaborative, and get energized by building in places where the playbook doesn’t exist yet.

You’re a builder of process as much as a builder of models. You know that a great strategy only lands if it’s operationalized — you design the workflows, document the systems, and create the infrastructure that makes analytical insight repeatable and scalable. You’re comfortable owning the program management layer: scoping projects across teams, holding stakeholders to timelines, and thinking strategically about how the function should be designed and sequenced.

You’re also a genuine developer of people who has managed at least 2 direct reports. You build teams that can operate without you, coach toward independence rather than creating dependency, and care about the growth of every IC on your team as much as you care about your own output.

Lead the Sales Operations function for Brightwheel’s Expansion business — which covers our emerging product lines including curriculum, professional development, and financial products — managing a team of 2 to start

Partner cross-functionally with Expansion business owners, Sales leadership, PDE, and Finance to define priorities, align on strategy, and translate analytical output into operational decisions.

Contribute to strategy — not just execution. Help GTM leadership think through how the Expansion function should evolve: what to build, in what sequence, and with what resources. Bring a point of view on how to structure go-to-market motions when selling multiple products to the same customer.

Design and implement scalable processes and playbooks that support the full Expansion sales motion — from lead routing and scoring to rep workflow, handoff design, and post-sale coordination.

Design and ship lead scoring models and value-based routing frameworks using product signals, behavioral data, and firmographic inputs from Salesforce, Gong, and Clay.

Build AI-driven analytical workflows — automated closed-loss analysis, Gong transcript classification, distribution QA, account segmentation — that run without manual intervention.

Run the Expansion funnel analytics cadence: connect rate diagnostics, close rate analysis, ICP development, and rep performance benchmarking.

Present in WBRs, MBRs, and exec forums; represent the Expansion Revenue Operations function with clarity and confidence.

5–7 years of experience in SaaS Ops, RevOps, GTM Ops, or a comparable function, with at least 2 years directly managing 2+ people.

Strong analytical fluency and hands-on experience with Redshift, Snowflake, or equivalent data warehouse; comfortable with Sigma, Salesforce, and analytical tooling.

Demonstrated AI fluency: you've built end-to-end automated workflows, not just used AI to assist manual work. You should be able to describe something you've built that runs without you.

A track record of developing strong individual contributors — you build team systems, document institutional knowledge, and coach toward independence.

Program management chops: you've owned multi-stakeholder projects end-to-end — scoped them, managed the timeline, resolved blockers, and delivered. You don't need a PM to stay on track.

Executive communication skills: leads with a recommendation, defends it clearly, and adjusts based on feedback without losing the thread.

Brightwheel is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Protecting Our Applicants: Please be aware of recruiting scams impersonating Brightwheel. All legitimate communications come from 

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Senior Level

People Management

AI Proficiency

Communication

Program Management

Brightwheel is seeking a Manager of Strategy and Operations to lead the Sales Operations function for its Expansion business. The role focuses on designing scalable GTM processes, building AI-driven analytical workflows, and managing a team to drive operational decisions using Salesforce, Snowflake, and Sigma.

Manager, Strategy and Operations

Full Time

You are a Senior Software Engineer who is both AI-native and product-minded. You love taking an ambiguous customer problem, turning it into a clear plan, and shipping a real end-to-end experience that moves a meaningful outcome. You care about craft and trust in what you ship, and you leave behind reusable building blocks so the next team can move even faster.

You will succeed in this role if you are:

 You care about helping preschools and childcare centers stay full, save time, and serve families better — not just about shipping “an AI feature.” You focus on measurable user and business impact.

 You treat AI as part of your toolchain: you rely on modern AI coding assistants and lightweight automation or orchestration tools to move dramatically faster, and you know when AI adds real leverage versus when a simpler approach is sufficient.

 You don’t wait for perfect requirements — you validate hypotheses with prototypes, talk to customers and internal teams, define success metrics, and use working software to align others and drive decisions.

 You are comfortable designing data models and APIs, implementing backend logic, and building the front-end experiences users interact with — while also creating shared services and patterns that other teams can reuse.

 You understand hallucinations, safety, and evaluation, and you design data flows, UX, and guardrails around those constraints rather than ignoring them.

 You handle sensitive school, educator, and family data with care and instinctively look for secure designs and least-privilege access patterns.

In this role, you’ll own AI-powered improvements in core brightwheel workflows end-to-end, from opportunity sizing to launch to iteration. You’ll ship experiences that make administrators and teachers faster and more effective, while creating shared patterns and infrastructure that enable the broader engineering team to build safely and consistently.

Design and build cross-cutting AI services

 (such as retrieval, context, evaluation, and guardrails) that power multiple product areas like classroom workflows, billing, and family communication.

 as a hybrid PM+Eng+Data builder: talk to customers and internal teams, define success metrics, design workflows and user experiences, shape data and evaluation plans, and ship iterative releases from prototype to reliable, scalable production.

Create shared abstractions and tooling for AI

 — including common prompt and tool patterns, logging and monitoring, and reusable components — so other engineers can build on a consistent foundation.

 so AI can safely stitch together longitudinal signals across product, billing, support, and operations, and recommend what should happen next — not just report what happened.

Lead by example in AI-augmented engineering,

 using AI to multiply your own speed, mentoring L2/L3 engineers, and raising the bar for how we design, ship, and operate AI-powered features.

We are open to a variety of backgrounds, but you likely bring:

2+ years of professional software engineering experience

, with clear ownership of medium-to-large production systems from problem statement and design doc through launch and iteration.

A proven track record of shipping AI-powered products to production

, with concrete examples where LLMs meaningfully improved metrics like engagement, time saved, satisfaction, or retention.

Hands-on experience with large language models (LLMs) in real applications

, including prompt and tool design, retrieval-style patterns (such as RAG), and evaluation and monitoring in production.

 (e.g., data structures, algorithms, and systems design) and a generalist mindset, comfortable moving between backend, data, and UX to get the job done.

 in at least one modern web stack (such as Ruby on Rails, Python, Go, or Node), plus confidence with relational databases and larger datasets, from data modeling to performant queries and analytics.

Experience building modern web front-ends

, ideally with React or a similar component-based framework.

Formal training in computer science (4-year CS degree or equivalent depth in core CS topics).

A portfolio of personal AI projects, open-source work, or writing that shows how you think about applied AI in real-world settings.

Background in vertical SaaS, ecommerce, or other operations-heavy domains.

Experience designing shared platforms or frameworks (for example, internal SDKs, evaluation services, or experimentation tooling) adopted by multiple teams.

A track record of raising the bar for quality and operations: writing secure, testable, maintainable code; automating and simplifying dev/test/ops workflows; writing and reviewing design docs; mentoring other engineers; and contributing to hiring through interviews and feedback.

Data: PostgreSQL on Amazon RDS, Redis, and event and analytics pipelines

Frontend: React with TypeScript and Emotion

Mobile: Native iOS (Swift) and Android (Kotlin with Jetpack Compose)

Cloud & Infrastructure: Docker, Kubernetes on Amazon EKS, GitHub Actions and FluxCD for CI/CD, and AWS services such as S3, CloudFront, CloudWatch, and SNS

AI & Automation: AWS Bedrock and other hosted large language models, vector search, orchestration and agent frameworks, and modern AI coding tools like Cursor

Education

Experience

Brightwheel is seeking a Senior AI Software Engineer to lead the development of AI-powered product improvements. The role involves building end-to-end AI services, including RAG and evaluation frameworks, using a stack that includes Ruby on Rails, React, and AWS Bedrock to enhance early education workflows.

Senior AI Software Engineer, Product

You are a customer-focused person who thrives in a constantly evolving startup environment where our goals, roles and incredible opportunities evolve every day. You are excited to call into current  brightwheel customers, retaining SaaS revenue and comfortable being responsible for these ambitious goals.  You can’t wait to be assigned the portfolio of customers that you will be responsible for and are eager to find out what makes them tick, help them solve problems, and get the most out of brightwheel. You are excited about joining a team that is competitive, collaborative and spending  all day on phone calls with our customers. You are curious, a go-getter and passionate about improving the world through education and technology.

customers continue to get exceptional value from brightwheel and remain loyal, long-term customers

 revenue through consultative engagement, digging into each customer’s needs and recommending the right products and solutions

 every customer’s goals and priorities, and translate them into strategic recommendations that drives retention, product adoption and overall satisfaction

your brightwheel product knowledge to lead meaningful customer conversations  and help customers maximize their brightwheel experience

 with internal leadership teams to resolve customer escalations and deliver timely and effective Voice of Customer feedback

nd text our current customers to assess brightwheel engagement, identify challenges, drive resolutions, and secure their commitment  to staying on brightwheel

new outreach tactics to boost retention and increase the value customers get from brightwheel

 track record of hitting/exceeding challenging goals

 work ethic, determination to succeed, and a team-first mindset

coachable, eager to learn, and energized by collaboration

curious, resourceful, and proactive in solving problems

in sales, account management or customer success, with a focus on customer retention

 operating in a high volume environment (e.g., 60-70 calls/day)

 ability to identify customer challenges, recommend solutions, and overcome objections with tenacity, patience and deep empathy

 communication, organizational, time-management, and prioritization skills

- this is one of our newest teams and the role and goals will change over time

Salesforce, basic excel /sheets, startup environment, early education, fully Bilingual in Spanish

Language Proficiency

Startup Experience

Brightwheel is seeking a Customer Account Specialist to drive customer retention and revenue growth within the early education SaaS market. The role involves managing a portfolio of customers, conducting high-volume outreach, and leveraging Salesforce to ensure long-term loyalty and product adoption.

Customer Account Specialist

 who combines deep systems-level engineering judgment, strong product sense, and exceptional execution to drive our hardest, most technically complex, multi-stakeholder initiatives. You act as the technical glue in ambiguous spaces, transforming company-wide priorities into high-velocity delivery across multiple engineering pods, product lines, and operations teams. You lead by example in how modern, automated execution gets done, ensuring our AI-driven capabilities are safe, scalable, and delivered with incredible velocity.

Focused on execution and business impact:

 You care about scaling brightwheel’s value and impact by orders of magnitude. You don't just manage timelines; you ruthlessly unblock technical dependencies and manage systemic risks to deliver better outcomes for our users.

 You do not coordinate from a distance. You are a hands-on technical force multiplier. You use AI assistants, agents, and modern tooling in your own daily workflows to automate tracking, write code scripts, build prototypes, and show what great execution looks like.

Brightwheel already supports the workflows that keep early education businesses running: enrollment, billing, staffing, classroom operations, family communication, and compliance. The next step is bigger. We are using AI to turn brightwheel from a system of record into a system of action, reducing toil, automating routine work, improving decision-making, and accelerating how we build.

You will orchestrate the technical execution of this vision. You will manage the cross-functional delivery of our most complex initiatives, cutting across product engineering, infrastructure, data pipelines, and internal business systems.

Drive high-stakes, multi-stakeholder technical programs

 that embed AI capabilities across our entire product surface area—ensuring tight synchronization between data, platform, and frontend product teams.

Manage the complex execution dependencies

 of building software that recommends next steps, completes routine work, and automates meaningful parts of our customers’ operations.

 to design and operate an AI hybrid workforce, establishing the necessary guardrails, evaluation frameworks, governance, and observability required for autonomous agents.

 by implementing AI-powered tooling, automated testing pipelines, and agentic workflows that catch issues early and minimize operational overhead.

 to optimizing internal functions like customer support and onboarding, ensuring cross-functional alignment as we scale.

, driving consensus on build-versus-buy decisions, architectural patterns, and platform leverage without losing momentum.

We are open to a variety of backgrounds, but qualified candidates usually bring:

 You have a 4-year computer science degree or equivalent depth in core CS topics, giving you the technical grounding to reason well across distributed systems, machine learning abstractions, and data architecture.

A record of orchestrating complex systems at scale:

 You have a proven track record of landing highly technical, multi-team programs from inception to production deployment. You understand what it takes to make deeply integrated products succeed in live production environments.

 You have driven programs involving AI, LLM orchestration, or automated data pipelines. You understand the nuances of non-deterministic software, including evaluation, prompt engineering, latency bottlenecks, and safety boundaries.

 You have extensive experience driving alignment across senior engineers, product directors, and executive stakeholders without having direct reporting lines over them.

The candidates who will thrive in this role go beyond the standard program management tracking toolkit:

 You operate without needing a product manager crutch. You use your deep technical knowledge to bridge the gap between architectural constraints and consumer value, ensuring we build the right things the right way.

 You are deeply expert in program execution and system architecture, but capable of diving just-in-time into data engineering, cloud infrastructure, or frontend flows. You use AI to multiply your learning speed, allowing you to confidently review code or write scripts to validate integration paths.

 You run toward the company's messiest, least-defined technical friction points. You create structure, define clear milestones, and build high-fidelity alignment where none existed.

Hands-on fluency with AI-native development:

 You don't just write documentation; you use AI coding tools (Claude Code, Cursor, v0) to automate your own technical tracking, build internal tooling dashboards, or construct technical proof-of-concepts to unblock engineering discussions.

 Frontier models, vector databases, orchestration and agent frameworks, and modern AI coding tools like Claude Code / Cursor.

 Ruby on Rails, Sidekiq, PostgreSQL on Amazon RDS, Redis, event and analytics pipelines.

 React with TypeScript, Native iOS (Swift), and Android (Kotlin with Jetpack Compose).

 Docker, Kubernetes on Amazon EKS, GitHub Actions, FluxCD, and core AWS services (S3, CloudFront, CloudWatch, SNS).

Cross Functional Leadership

Brightwheel is seeking a Senior Technical Program Manager, AI to lead the technical execution of AI-driven capabilities. The role involves orchestrating complex, multi-stakeholder initiatives across engineering pods using LLMs, Ruby on Rails, and AWS to transform the platform into a system of action.

Senior Technical Program Manager, AI

You are a Principal Engineer who is both AI-native and relentlessly product-minded. You turn ambiguous, cross-team opportunities into clear technical direction, and then you prove the path by building. You care about the flagship experiences you ship, and you obsess over the shared "paved highway" that makes it easy for the teams around you to ship safe, reliable AI over and over again.

Driven by outcomes. You care about helping centers stay full, save hours every week, and serve families better, not shipping "an AI feature" for its own sake.

The strategic architect and prolific builder. You bridge strategy and deep implementation. You set the technical direction for your organization, then you get hands-on to deliver reference implementations that teams can adopt with confidence.

Decisive on build vs. buy. You have sharp judgment on when to leverage off-the-shelf models and platforms versus when to invest in proprietary infrastructure, fine-tuning, data flywheels, or evaluation systems to create durable advantage.

Velocity as a strategy ("show, don't tell"). You move with the hunger of a founding engineer: you prototype boldly, de-risk quickly, and use working systems, not slides, to align teams and raise their ambition and pace.

A force multiplier with a platform mindset. You build the paved road: evaluation harnesses, retrieval and context patterns, safety guardrails, observability, and developer experience that let product and engineering teams ship AI safely and autonomously.

Deep on fundamentals, modern in practice. You understand why models fail (data, evaluation, human feedback, reliability), and you aggressively use modern AI-native tooling to iterate faster without sacrificing rigor.

Security- and trust-minded. You treat sensitive school, educator, and family data with care, design for least-privilege access, and build systems that are explainable, monitorable, and resilient.

Mission-aligned. The idea of using AI to expand childcare capacity and improve early education outcomes, at meaningful scale, genuinely motivates you.

You will make brightwheel measurably more valuable to schools, centers, educators, and families by shipping AI-powered capabilities that move business outcomes - for example, retention, enrollment conversion, payment success, operational efficiency, and support burden. This is not a research role or a "build cool demos" role; success is defined by impact in production.

Own outcomes end-to-end. Turn high-leverage opportunities into shipped, adopted capabilities with clear measurement, iteration loops, and sustained improvement—not one-time launches.

Define the AI technical direction for your organization. Translate customer problems into a practical strategy, reference architectures, and a roadmap that multiple teams can execute against, with minimal guidance.

Drive build-versus-buy decisions. Recommend when to partner on models and tooling versus when to build differentiated capabilities (data flywheels, evaluation systems, workflow-specific intelligence), backed by evidence from fast, hands-on spikes.

Lead by implementation. Rapidly prototype and ship reference implementations to prove feasibility, de-risk decisions, and raise your teams' expectation for speed and ambition.

Help build the paved highway. Contribute shared foundations—evaluation harnesses, retrieval and context patterns, safety guardrails, observability, and developer experience—so teams can ship reliable AI features repeatedly and independently.

Raise the bar across your organization. Mentor senior and staff engineers, lead design reviews for your teams, help establish standards for quality and safety, and align stakeholders to drive adoption.

We are open to a variety of backgrounds, but strong candidates usually bring:

Foundational AI Depth: You possess deep intuition for why models fail, gained from experience that predates the LLM boom. You have likely worked with classical NLP/ML, giving you the grounding to make sound architectural decisions.

8+ Years of Engineering Excellence: You have end-to-end ownership of large, business-critical systems. You launch large-scale and/or highly complex software that requires members of multiple teams to contribute, and you deliver largely independently with minimal guidance.

Architectural Strategy: Experience formulating architectural strategy at the organization level. You have designed systems that required execution across multiple teams, and you regularly influence technical and product priorities.

Mentorship and Hiring: A track record of mentoring senior and staff engineers and improving their skills, knowledge, and ability to get things done. You actively interview engineers and your judgment carries weight in debriefs.

Production AI at Scale: A proven track record of shipping AI-powered products to production. You understand the "last mile" of AI—evaluation, monitoring, and safety—and have built the tools that allow teams to sleep soundly at night.

Experience earlier in your career with model training, fine-tuning, classical machine learning, or natural language processing—enough to have intuition for why models fail and how data and evaluation shape outcomes.

A portfolio of real work (open-source, demos, writing, talks, or shipped side projects) that shows taste, velocity, and how you think about applied AI systems end-to-end.

Experience building shared internal platforms or frameworks (for example evaluation services, retrieval infrastructure, policy and safety guardrails, observability tooling) that became the default path for multiple teams.

A strong bar for operational excellence: secure-by-default design, performance and cost discipline, testability, incident readiness, and a track record of improving development, testing, and on-call practices for complex systems.

AI & Automation: AWS Bedrock and other hosted large language models,, orchestration and agent frameworks, and modern AI coding tools like Cursor, Claude Code and Codex

Staff / Principal Level

Brightwheel is hiring a Principal AI Software Engineer, Product to develop AI-powered capabilities that improve early education outcomes. The role focuses on defining technical strategy, building reference implementations, and creating shared AI infrastructure using Python, Ruby on Rails, and AWS Bedrock.

Principal AI Software Engineer, Product

Bonus

You are an operator at your core, you don't just design programs, you drive measurable outcomes and can prove it with numbers. You bring a strong AI-first mindset and are excited to fundamentally redesign how enablement works using AI, not just generate content faster. You have a track record of building and scaling enablement as a system, onboarding and ongoing, tied to revenue, productivity, and retention outcomes, and you think in systems, able to diagnose whether a performance gap is a program, tooling, talent, or measurement problem.

You operate with high agency and ownership, proactively identifying opportunities and driving change without waiting for direction. Analytically, you're comfortable owning ramp time, attainment, productivity, quality/QA, and cost-to-train, and you're a strong cross-functional partner across Sales, Customer Success, RevOps, Product, and Finance. You navigate ambiguity and seasonality well, making high-quality, high judgement decisions quickly, and you're not limited by traditional definitions of enablement. You're motivated by the opportunity to build and evolve a business-critical function.

Own the performance of a unified Training & Enablement organization (~10–20 people) spanning Sales Enablement, Post-Sales Enablement, and Enablement Tech/Systems, reporting into Operations

Define and execute an AI-first enablement strategy, embedding AI deeply into onboarding, ongoing coaching, certification, conversation intelligence, and knowledge delivery

Own the end-to-end new-hire onboarding system and the ongoing programs that uplevel tenured reps and managers

Own the enablement tech stack (LMS, conversation intelligence, AI coaching/role play, knowledge tools) and the measurement systems that prove enablement impact

Deliver against key outcomes including ramp time, new-hire and ongoing attainment, productivity, quality/QA, cost-to-train, and contribution to retention

Operate as a hands-on leader — diagnosing root causes, setting direction, and executing alongside the team

Partner cross-functionally to ensure enablement is aligned with go-to-market, post-sale, product, and finance priorities

Build and lead a high-performing, distributed team across all three pillars, setting a high bar for execution and continuous improvement

Identify opportunities to expand scope and impact over time, contributing to broader operational leadership

10+ years of combined go-to-market, operations, and/or enablement experience, including 5+ years leading enablement or training, in high-growth organizations

 — ideally across more than one function (sales and post-sale)

 you personally drove (conversion improved, ramp time reduced, attainment improved, productivity or cost gains)

AI/automation to redesign enablement workflows

 and improve speed, consistency, or cost (builder strongly preferred)

enablement systems, tooling, and measurement

Deep comfort owning business-critical metrics and reporting credibly to senior leadership

Successfully navigated ambiguous, fast-changing, and seasonal environments, bringing structure and results

Partnered cross-functionally to drive outcomes and influence company-level decisions

Nice to have: High-velocity / SMB SaaS sales or post-sale (onboarding/CS) background

Nice to have: RevOps or enablement-platform/admin depth (LMS, Gong/conversation intelligence, AI coaching tools)

You're primarily a program manager or content owner who measures success by 

You prefer steady, defined scope and stable environments over ambiguity, evolving mandates, and seasonal surges. You're looking to run a well-defined, well-oiled enablement function rather than rebuild and redesign one from first principles

You think of enablement as a content-and-training service to optimize incrementally, rather than a system to fundamentally redesign with AI. You've used AI tools for personal productivity, but haven't applied AI to redesign workflows or deliver step-function improvements

You optimize for polish over speed, or prefer long planning cycles over rapid iteration

SaaS

Brightwheel is seeking a Director of Sales Enablement & Training to lead a unified organization spanning sales and post-sales enablement. The role focuses on implementing an AI-first strategy to redesign onboarding and coaching systems to drive measurable revenue and productivity outcomes. The ideal candidate will manage a distributed team and partner cross-functionally across GTM, Product, and Finance.

$213K – $235K • Offers Equity • Offers Commission

On Target Earnings $213K – $235K • Offers Equity • Offers Commission

Director, Sales Enablement & Training 

You're a technically sharp, AI-native analyst who sees lead quality not as a reporting exercise but as a compounding strategic advantage. You build systems, not spreadsheets. You're equally comfortable writing SQL against a data warehouse, deploying a lead scoring model, and presenting findings to a VP of Sales. You move fast, document well, and automate everything that doesn't require a human judgment call.

You bring a builder's mindset to an operator's environment: you can take an ambiguous brief, define the problem, instrument the data, and ship a v1 — then iterate quickly based on what you learn. You communicate with precision, push back constructively when something doesn't add up, and don't need a manager to tell you what to work on next.


Design and deploy a lead scoring model using high-intent product, behavioral, and firmographic signals — working from data in Redshift, Salesforce, Gong, and Clay.

Build and maintain lead routing and distribution logic across inbound and outbound channels using LeanData and Salesforce, including guardrails, alerting, and monitoring.

Senior Analyst, GTM Intelligence at Brightwheel. Responsible for designing lead scoring models, automating analytical workflows, and optimizing lead routing using SQL, Salesforce, and AI tools like Claude. The role focuses on translating data into strategic GTM decisions to improve lead quality and operational efficiency.

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