Weave

Implementation Specialist

• Serve as the primary implementation specialist and trusted advisor from kickoff through go-live.
• Manage a portfolio of customers in various stages of onboarding.
• Lead customer training and activation calls for AI Receptionist and TrueLark products.
• Review and validate customer AI setup preferences, scheduling configurations, business information, insurance settings, and workflow requirements.
• Train customers on AI Receptionist features including:
• - AI Voice
• - AI Texting
• - Online Booking
• - Missed Call Text
• - Unified Inbox
• - Call Intelligence
• - Needs Attention workflows
• Configure and activate TrueLark within Weave systems.
• Conduct test calls and validate customer workflows before go-live.
• Troubleshoot implementation issues and partner with Product, Support, Operations, and Engineering teams when necessary.
• Proactively manage customer expectations and communicate implementation milestones.
• Handle customer escalations and adoption concerns.
• Ensure customers understand how to maximize the value of both Weave and TrueLark.
• Document customer interactions, implementation progress, and next steps.
• Schedule and conduct post-go-live check-in calls to support adoption and long-term success.
• Deliver a five-star customer experience throughout the onboarding journey.

Implementation Specialist – Upsells AI Receptionist

Backend Engineer

• Immediately take the lead on the end-to-end performance testing, analysis, and tuning for the newly acquired Truelark platform.
• Architect, build, and maintain a scalable, automated performance testing framework deeply integrated into our CI/CD pipelines.
• Develop and document reference implementations for performance testing critical path systems.
• Go beyond surface-level metrics to perform deep root cause analysis of performance bottlenecks.
• Partner closely with infrastructure and product teams to define, measure, and monitor SLOs for latency, throughput, and availability of critical services.

Senior Backend Engineer – Performance

Full-stack Engineer

• Architect & Lead: Design, build, and maintain scalable, high-performance backend services using Golang microservices in a cloud-native environment.
• Solve Complex Challenges: Address large, open-ended engineering problems such as reducing operational costs, optimizing system performance, and improving payment processing efficiency.
• Drive Multi-Team & Multi-Quarter Initiatives: Lead large, strategic engineering projects that impact multiple teams and require deep expertise in distributed systems, API design, and database optimization.
• Improve System Reliability & Scalability: Ensure our payment systems are resilient, highly available, and fault-tolerant, leveraging best practices in cloud infrastructure, monitoring, and alerting.
• Optimization & Performance: Identify inefficiencies in our systems, propose solutions, and execute cost-saving and performance-enhancing initiatives in collaboration with engineering leadership.
• Foster Engineering Excellence: Mentor and coach engineers across multiple teams, sharing best practices and driving improvements in code quality, testing, and deployment.
• Lead Migrations & Technical Transitions: Spearhead critical system migrations, ensuring smooth rollouts with incremental adoption, rollback strategies, and clear communication across teams.
• Collaborate & Align Stakeholders: Work closely with product, infrastructure, and security teams to align technical strategies with business objectives and ensure smooth execution.
• Ensure Operational Readiness: Define monitoring, alerting, and incident response strategies to maintain system stability and performance.
• Champion Technical Strategy: Provide thought leadership on backend architecture, microservices best practices, and emerging technologies.

Staff Software Engineer, Payments

• Architect & Lead: Design, build, and maintain scalable, high-performance backend services Golang microservices in a cloud-native environment.
• Solve Complex Challenges: Address large, open-ended engineering problems such as reducing operational costs, optimizing system performance, and improving payment processing efficiency.
• Drive Multi-Team & Multi-Quarter Initiatives: Lead large, strategic engineering projects that impact multiple teams and require deep expertise in distributed systems, API design, and database optimization.
• Improve System Reliability & Scalability: Ensure our payment systems are resilient, highly available, and fault-tolerant, leveraging best practices in cloud infrastructure, monitoring, and alerting.
• Optimization & Performance: Identify inefficiencies in our systems, propose solutions, and execute cost-saving and performance-enhancing initiatives in collaboration with engineering leadership.
• Foster Engineering Excellence: Mentor and coach engineers across multiple teams, sharing best practices and driving improvements in code quality, testing, and deployment.
• Lead Migrations & Technical Transitions: Spearhead critical system migrations, ensuring smooth rollouts with incremental adoption, rollback strategies, and clear communication across teams.
• Collaborate & Align Stakeholders: Work closely with product, infrastructure, and security teams to align technical strategies with business objectives and ensure smooth execution.
• Ensure Operational Readiness: Define monitoring, alerting, and incident response strategies to maintain system stability and performance.
• Champion Technical Strategy: Provide thought leadership on backend architecture, microservices best practices, and emerging technologies.

Staff Software Engineer, Backend

• Design, build, and maintain scalable backend services and APIs using Golang microservices.
• Drive technical architecture and contribute to long-term system health by anticipating scaling and maintenance needs.
• Collaborate cross-functionally with product, design, and frontend teams to deliver high-impact features.
• Participate in system design reviews, propose and implement robust solutions, and contribute to Weave’s overall engineering strategy.
• Own the quality, reliability, and observability of your code from development to production.
• Help plan and execute projects from inception to delivery, with a strong sense of ownership and outcome-orientation.
• Mentor peers and junior engineers by sharing your knowledge and encouraging best practices.

Senior Backend Engineer

Machine Learning Engineer

• Design and develop ML infrastructure, tooling, and models to help teams deliver world class experiences
• Build internal and external products and platforms to enable teams to incorporate AI into their features and customer facing products
• Translate product goals into actionable engineering plans and build scalable, resilient services for data integration and event processing
• Help product and development teams understand the data lifecycle and consult with teams on common ML patterns/tradeoffs
• Coach and collaborate inside and outside the team to elevate technical standards
• Write high-quality, performant, sustainable, and testable code while working in a cloud environment
• Monitor the industry landscape, anticipate where technological advances are heading, and ensure Weave stays ahead of the curve
• Cut through noise and hype to identify genuine strategic value; advocate for and lead key initiatives that prepare Weave for emerging challenges
• Shape company-wide standards for engineering excellence, observability, and reliability in distributed systems
• Actively mentor Staff and Senior Engineers across the fellowship, developing the next generation of technical leaders
• Elevate architectural thinking across teams through design reviews, documentation standards, and hands-on guidance
• Build organizational capability that persists beyond your individual contributions

Principal Engineer – GenAI Applications, MLOps

Operations

• Build and maintain paid media performance dashboards
• Monitor marketing attribution and conversion tracking accuracy
• Connect advertising platforms with internal data systems such as Salesforce and analytics tools
• Prepare weekly and monthly performance reporting for marketing leadership
• Assist with campaign tagging, tracking parameters, and data hygiene
• Identify trends and performance insights across channels
• Support budget pacing and forecasting models
• Assist with campaign experiment analysis and reporting

Marketing Data & Performance Ops Specialist

Product Analyst

• Lead the full E2E lifecycle of product analytics success insights from product discovery to product launch for key products, including our AI products and core features to optimize product adoption and revenue growth.
• Partner with PMs and cross-functional leaders to define, track, report, and analyze product success including sales, onboarding, adoption, and churn metrics to optimize product retention and revenue.
• Define, execute, and communicate the product analytics strategy, shaping a roadmap for data-driven analysis, dashboards, and initiatives that deliver business outcomes.
• Serve as a trusted thought-partner to senior product leaders and executives to understand their challenges and deliver data-driven recommendations and solutions.
• Lead high-visibility, cross-functional projects, defining scope, deliverables, and outcomes while ensuring company-wide strategic alignment including unlocking core and AI features product behavior and usage data for analysis.
• Champion a culture of analytics excellence, scaling our product analytics data foundation, self-service capabilities, AI-focused analytics capabilities, and predictive models that empower product leaders to leverage deep insights to drive business decisions and actions.

Lead Product Analyst

Performance Marketing

• The Paid Media Execution Specialist supports the demand generation team by building, launching, and optimizing campaigns across paid search and paid social channels.
• This role focuses on campaign implementation, budget pacing, and performance monitoring to ensure paid media programs run efficiently and scale effectively.
• This is a highly execution-focused role designed to increase campaign velocity, testing cadence, and operational efficiency across platforms such as Google Ads, LinkedIn, and Meta.

Paid Media Specialist

• Design, build, and maintain scalable backend services and APIs using Go (Golang) microservices.
• Drive technical architecture and contribute to long-term system health by anticipating scaling and maintenance needs.
• Collaborate cross-functionally with product, design, and frontend teams to deliver high-impact features.
• Participate in system design reviews, propose and implement robust solutions, and contribute to Weave’s overall engineering strategy.
• Own the quality, reliability, and observability of your code from development to production.
• Help plan and execute projects from inception to delivery, with a strong sense of ownership and outcome-orientation.
• Mentor peers and junior engineers by sharing your knowledge and encouraging best practices.

Senior Backend Software Engineer

Artificial Intelligence

• Train AI models by reviewing responses and delivering consistent, actionable feedback.
• Review and analyze customer feedback on AI behavior; document and recommend corrective actions.
• Own the customer experience of AI-driven interactions and recommend appropriate escalation paths.
• Generate clear, natural, and conversational written content for AI training.
• Collaborate with cross-functional teams to improve processes, content, and AI outcomes.
• Proactively identify issues, suggest solutions, and drive continuous improvement.

AI Trainer

Frontend Engineer

• Build features targeting Weave's desktop clients using web technologies (TypeScript/React/HTML/CSS)
• Communicate with other teams and individuals to coordinate work efforts.
• Be responsible for long term code quality of what you write and maintain.
• Pitch in where needed as a valued member of an autonomous, cross-functional team.
• Enjoy collaborating in a high-trust environment.