Manager of Customer Success
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Job Description
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Trusted by 800,000 monthly active users, UpCodes (YC S17) is a comprehensive compliance and product research platform that accelerates design to construction in the AEC space. The construction industry suffers from unnecessary costs and complexity; every year billions of dollars are wasted on rework. We’re committed to delivering easy-to-use tools that help designers and builders spend less time finding the right compliance and product resources and more time doing what they love — designing and building.
We make a real-world, tangible impact on the lives of our users and their work of constructing our homes, schools, hospitals, and offices.
WHAT YOU'LL DO
As Manager of Customer Success, you’ll have a direct and significant impact on how our customers succeed with UpCodes and how we grow with them. You’ll be responsible for:
Team Leadership: Manage and mentor our current Customer Success Manager (CSM), and plan, hire, and train a high-performing team as we grow, ensuring alignment with cross-functional teams such as Sales, Support, and Product.
Hands-On Leadership: Until the team is in place, you’ll be on customer calls, running onboardings and trainings, and handling escalations. You’ll stay hands-on as the team grows.
Strategy and KPIs: Work backward from company priorities to set goals for the team. Evaluate our current metrics, such as retention, expansion, and adoption, set ambitious targets for improvement, and lead the team in achieving them.
Customer Health: Develop a customer health score based on product usage, engagement, and renewal signals, and monitor it regularly to flag at-risk revenue and expansion opportunities early.
Scalable Systems: Create the playbooks, workflows, and automations that enable the team to efficiently support a growing customer base.
Customer Knowledge Base: Build and maintain a knowledge base of guides and help articles so customers can find answers on their own.
Reporting and Dashboards: Build reports and dashboards that give the team and leadership clear visibility into customer health and trends.
THE IDEAL CANDIDATE
Experience in Customer Success: 7+ years in Customer Success, Account Management, or a related customer-facing role at a B2B SaaS or tech company, including at least two years managing CSMs.
Have hired, trained, and mentored team members
Have built a scalable Customer Success system, such as health scoring, playbooks, or lifecycle automation
Have owned KPIs and driven measurable improvements
Have hands-on experience building reports and dashboards
Data-driven: You use data to set the right targets and find the most effective solutions. Your decisions are backed by clear, defensible reasoning, but you also appreciate the role of intuition and conviction.
Open to feedback: You ask for feedback, take it well, and use it to get better. You're comfortable juggling several priorities at once and learning as you go.
You sweat the small stuff: You notice the details, like a missed follow-up or a messy handoff, and you set a high bar for quality on your team.
NICE TO HAVE
AI Fluency: You use AI tools in your day-to-day work and have used them to make your team more efficient, whether that’s analyzing account data, building reports, or automating parts of the CS workflow.
Startup Experience: You’ve worked at a fast-moving tech startup or an AI-native company, and you’re comfortable building without a playbook.
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DaCodes
View Company ProfileDaCodes is a nearshore software development and digital transformation agency that provides end-to-end technology solutions for startups and enterprise clients. With a remote workforce of over 250 tech professionals ("DaCoders") across Latin America, the company specializes in artificial intelligence and data, cloud architecture and DevOps, product strategy, and full-stack software engineering. DaCodes operates primarily through staff augmentation, dedicated development teams, and fixed-scope projects, helping businesses across 18+ industries build scalable software, modernize legacy infrastructure, and implement cutting-edge, production-ready AI applications.
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