Own Quo’s technology partner ecosystem strategy, relationships, prioritization, commercial outcomes, revenue pipeline, co-selling, and adoption. Develop partner qualification frameworks and serve as a technical bridge between partners and Product and Engineering. Expand partnerships across AI clients, agent platforms, and MCP marketplaces, identifying use cases and measuring activation, retention, adoption, and revenue.
Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones. This multi-billion dollar market has been overlooked for decades, left to cobble together solutions that slow them down instead of helping them grow.
Quo is changing that. We bring calls, texts, and customer information together into one easy-to-use, AI-powered platform. We’re not just building a phone system. We’re setting a new standard for how businesses connect with their customers.
Driven by our values, we move fast, build with determination, and obsess over delivering value to the businesses that have been underserved for far too long.
Today, Quo is trusted by more than 120,000 companies and rated #1 in customer satisfaction on G2. We’re backed by Y Combinator, Tiger Global, Craft Ventures, Slow Ventures, and other top-tier investors. It’s safe to say we’re onto something big.
About the roleWe're looking for a Senior Technology Partner Manager to build and own the strategy and partner relationships behind Quo's technology partner ecosystem, from native integrations to emerging AI-client and marketplace partnerships. You'll decide which partners and integrations are worth investing in, own the commercial relationship and revenue outcomes, and define the co-sell and adoption strategy for each. You'll work closely with Product, Engineering, and Revenue (Sales, Customer Success, and of course Partnerships). This role blends strategic ownership with hands-on partner and technical relationship management, and you'll be building much of that operating model as the ecosystem grows.
Core (day one):
- Define the partner strategy for native integrations, own partner prioritization, and drive the co-sell and adoption plan, partnering cross-functionally on go-to-market execution.
- Own the commercial relationship with each technology partner, including goals, priorities, and escalation.
- Own the partner revenue pipeline from installs to partner-sourced and influenced ARR, supporting retention impact, and prioritizing those investments accordingly.
- Build a partner qualification and prioritization framework to bring rigour to a growing volume of partner interest.
- Act as a lite technical bridge between partners and our Product and Engineering teams.
Growing scope (build as it matures):
- Own the strategy and partner relationship for AI-client, agent-platform, and MCP marketplace partnerships, from evaluation through adoption.
- Identify and prioritize agent-driven partner use cases that translate into real commercial opportunity.
- Contribute to the measurement model for AI/agent partnerships across activation, adoption, retention, and revenue.
- Identify joint AI/MCP experience opportunities with partners and define what a high-impact version looks like.
About you
- Experienced in technology partnerships: 6+ years in technology/ISV partnerships, product partnerships, or alliances, with direct ownership of a partner portfolio.
- Technically fluent: comfortable with APIs, OAuth, webhooks, and integration or marketplace programs. Enough to hold your own with a partner's product or engineering team.
- Deep understanding and interest in the AI ecosystem: conversant in AI agents, MCP/connectors, and automation workflows, with a clear point of view on what makes a partner experience differentiated versus shallow.
- Relationship builder: you build trust with partners, understand their goals, and align them with Quo's objectives to create shared success.
- Strategic and hands-on: you build strategy, scorecards, and intake processes from scratch rather than waiting for one to be handed to you.
- Builder mindset: you thrive optimizing partner programs, with an eye for scalability but not rigidity as the program matures.
Compensation
The annual base salary range for this position is as follow, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $162,000 - $190,000 USD
- All other US Locations: $145,000 - $171,000 USD
- Canada: $153,000 - $180,000 CAD
The ranges displayed reflect the target for new hire salaries, and within each range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.
Salary is just one component of Quo’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.
Who we areWe're a remote-first company with a culture of trust, autonomy, and action. As we rapidly grow, we're intentionally building communities in a handful of hub cities while continuing to hire great talent wherever they happen to live. If you're looking for a place to do your best work, we'd love to hear from you.
And remember, there's no such thing as a 'perfect' candidate. We're looking for optimists with grit and determination, who are excited to face the challenges of a growing startup. Quo is the type of company where you can grow, and we encourage you to apply for this role even if you don't think you meet all the requirements.
We are committed to creating an inclusive and diverse work environment. It is important that you are able to bring your authentic self to work every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote #PostLI
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Own the vision and roadmap for Affirm’s consumer loyalty program, launching rewards, tiers, engagement loops, and redemption experiences. Lead program economics, experimentation, incrementality, LTV measurement, and reward optimization. Partner with Risk, Credit, Legal, Compliance, Finance, Marketing, engineering, and design to deliver compliant products and drive repeat usage, retention, share of wallet, and incremental GMV.
Top Skills:
AmplitudeClaude CodeCursorSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products. Lead complex cross-team initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems while automating marketing and go-to-market workflows with AI. Partner with BI, Data Science, Marketing, Sales, and R&D teams to support self-service analytics and trusted business KPIs.
Top Skills:
Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEltETLLakehouse ArchitecturesLlmsPythonSalesforceSemantic LayersSnowflakeSQLStreamlit
2 Hours Ago
Easy Apply
Easy Apply
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.
Top Skills:
AnalyticsAttributionAustralian Privacy ActCcpa/CpraConsent ManagementCookiesGdprInstrumentationMarketing TechnologyMeasurement SystemsTaggingWeb Experimentation
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
