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Candidate deck
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For Softr, in conversation with the CEO
Anton Silaev
Partnership Manager, Tech & Agency Partnerships
15+ years building partner ecosystems that become the majority of a company's revenue, measured by productivity, not headcount.
Why this conversation
A track record of partner-led revenue
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of total company revenue driven through agency and tech MSP partnerships
Hive.co
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YoY partner-sourced growth
Hive.co
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quota attainment leading a 7-person partnerships team
7shifts
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154 registered and 25 closed partner deals
Vena
Most recent — Channel Force
Operating philosophy
More partners ≠ more revenue
Channel Force reframed partnerships for me, from a recruiting-and-managing function into a scalable revenue production system. Toggle the model to see the shift.
Ecosystem size
Ecosystem productivity
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42 partners
in the ecosystem
in the ecosystem
The reframe I operate by
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Measure productivity, not size. Active sellers, pipeline, and revenue never partner count.
02
Recruit for active-seller potential, not recognizable logos.
03
Cut time-to-value with structured onboarding, sales plays, and repeatable GTM motions.
04
Treat partners as an extension of sales — driven by data, not intuition or activity metrics.
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The goal is not to build the biggest partner ecosystem. It's to build the most productive one.
The two-sided mandate
One owner for both motions, mapped to my background
Softr's role asks one person to own both agency partnerships and tech/integration partnerships end to end. Click either side for the receipts.
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Agency & MSP partnerships
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Hive.co, Vena Solutions, ThePartnerGuy
Tiering & MRR thresholds
Certification
Partner portal & community
Hive.co: built and managed agency/tech MSP motions with Etix, Saffire, AXS, See Tickets, TicketWeb, Pixl Events, Siempre Agency, The Worst Agency, Friends of Friends, New Noise Media, and Gray Scale Marketing. Built agency tiering, MRR thresholds, certification, co-branded marketing, a partner portal/community, case-study pathing, and partner-manager coverage.
Vena Solutions: MSP, tech, and consulting motions with partners including Onpoint and Cogenics Consulting. 154 registered partner deals, 25 closed in 2019 ($1.7M ARR, 126% to plan). Built field enablement for management. consultancies, CPA firms, and VARs.
ThePartnerGuy / EasyLlama: built a consulting-partner strategy for HR/compliance firms to package the product into advisory offerings, positioning partners to reach larger clients and create billable service value.
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Tech / integration & SI partnerships
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DLT Labs, 7shifts, plus blended solution/technology partners in every role
SI co-sell
Implementation
Blended portfolio
DLT Labs: built and managed SI/consulting co-sell motions with Accenture, Deloitte, KPMG, PwC, CGI, Tech Mahindra, and HCL. Enabled partners to co-sell, implement, and package solutions with both professional-services and SaaS revenue paths.
7shifts: enabled and trained integration partners including Toast, TouchBistro, and ADP, building the technical and sales readiness needed to co-sell and support joint customers.
Across every role: the partner mix was consistently blended, never a single partner type. Solution and technology partners were a meaningful, and sometimes dominant, part of the portfolio.
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The pattern across every role is the same shape as this job: mixed-portfolio partner ownership, not a single-track motion.
Builder proof, not just a strategist
I ship, not just strategize
NOUS
self-built AI voice & orchestration
Live, 3 locations
An AI voice agent that answers calls, qualifies callers, and books jobs after hours for a family tire-shop business, running across three high-volume locations.
100+
after-hours calls recovered in a recent month
~30%
of those converted to booked jobs
It orchestrates CRM, inventory, and shop-management data into a single context layer that drives the AI agents. Built on self-hosted LiveKit real-time voice infrastructure with cloud-native serverless and database layers, deployed and versioned through a Git-based workflow. Self-taught, end to end, shipped to production.
LiveKit, self-hosted
Serverless
Managed DB
Git workflow
Case study — independent auto shop
Deployed for a family-owned shop (my uncle's business): handled 104 calls, converted 31 into bookings, and recovered $13K in revenue that would otherwise have gone to another shop.
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Built directly in Softr
There is a live build in Softr itself that I would like to walk through with you.
Demo live in this session
View the build ↗
The JD asks for a builder's mindset and fluency in no-code tools. This is not a claim, it is a shipped, running product.
What I'd actually do
The first 90 days
30
Day 30
Assess & Understand
60
Day 60
Build & Activate
90
Day 90
Optimize & Scale
Understand the business before prescribing solutions.
Become proficient with Softr by building applications and understanding the customer journey.
Meet key stakeholders across Product, Marketing, Customer Success, Sales, and Leadership.
Assess the current agency and technology partner ecosystem.
Evaluate existing partner motions, onboarding, enablement, integrations, and GTM processes.
Establish baseline performance metrics and identify opportunities, friction points, and gaps.
Speak with customers, or listen to top calls, to understand why they chose Softr and how partners could serve them better.
Review current partner agreements, tiering, and commission structures for gaps or misalignment.
Map the competitive landscape of agencies and integration partners already active in Softr's ecosystem.
Outputs
Partner ecosystem assessment
Ideal Partner Profile (agency & tech)
Current-state KPI dashboard
Prioritized 90-day recommendations
Improve partner productivity through structure and execution.
Refine partner recruitment criteria around strategic fit and selling capability.
Standardize onboarding and partner activation.
Develop repeatable "1-to-1" sales plays and co-selling motions.
Align partner initiatives with Marketing, Product, and Customer Success.
Begin measuring partner execution, not just partner participation.
Generate pipeline and quick wins.
Pilot co-sell and co-marketing motions with 2-3 highest-fit partners to validate the model.
Set up partner-to-pipeline attribution so sourced revenue is clearly trackable.
Outputs
Partner activation framework
Sales playbooks
Joint GTM motions
Productivity performance dashboard
Build a repeatable partner revenue engine.
Analyze early results and refine partner programs.
Scale the highest-performing GTM motions.
Introduce structured business reviews and continuous improvement.
Create a roadmap for long-term ecosystem growth.
Establish more pipeline through expanded and deepened partner relationships.
Set quarterly partner-sourced revenue targets and a recurring partner business review cadence.
Prioritize the next wave of partners to recruit based on demand signal and coverage gaps.
Outputs
Optimized partner operating model
Executive reporting framework
12-month growth roadmap
Success philosophy
Success isn't the number of partners recruited, it's the productivity of the ecosystem. I'd baseline metrics like active sellers, activation rate, time to first customer, and partner-sourced pipeline/revenue.
Let's build it together
Own both sides of the portfolio, and build the system that makes it productive. That is exactly the work I've been doing for 15 years.
Happy to go deeper on any of this. What would be most useful to dig into?
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