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Pharos Production Inc.
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Reviewed by Dr. Dmytro Nasyrov, Founder and CTO
Digital Product Management
Pharos Production offers Digital Product Management services that bridge the gap between business strategy and technical execution.
- 90+engineers
- 18industries
- 13+years in business
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Reviewed and updated
Last reviewed April 27, 2026 by Dmytro Nasyrov, Founder and CTO. Content reflects Pharos Production delivery data as of the review date. Editorial policy.
Reviewed by Dmytro Nasyrov
Founder and CTO
23+ years in custom software development. Led 70+ projects across FinTech, healthcare, Web3 and enterprise. aligned with ISO 27001 team.
What is digital product management as a service?
Digital product management as a service is an embedded engagement model where a senior product manager joins the client team to own roadmap, discovery, prioritization and cross-functional alignment for a defined period. It is distinct from coaching or advisory - the embedded PM actually does the product work, sits in client standups, writes specs, runs user research and makes trade-off calls. Pharos embeds product managers with 10+ years of senior PM experience for clients without a full-time product leader, or as surge capacity during launches and transformation programs. Authoritative citations12 sources
- OpenView SaaS BenchmarksThe OpenView annual SaaS benchmarks report compiles KPI medians across ARR growth, net revenue retention, CAC payback and gross margin for early-stage through public SaaS companies, which we use to calibrate architecture investment versus growth stage. openviewpartners.com](https://openviewpartners.com/saas-benchmarks/)
- SaaS Capital IndexSaaS Capital publishes quarterly valuation multiples and growth benchmarks for private SaaS companies, useful reference material when translating engineering investment into valuation impact conversations with founders and CFOs. saas-capital.com](https://www.saas-capital.com/research/)
- ChartMogul SaaS Metrics ReferenceChartMogul maintains a definitive taxonomy of SaaS metrics including MRR movement, cohort retention and expansion revenue, which directly shapes the billing and analytics schemas we ship inside every multi-tenant platform build. chartmogul.com](https://chartmogul.com/resources/saas-metrics/)
- Stripe Atlas GuidesStripe Atlas publishes engineering-grade guides on SaaS billing, subscription lifecycle, tax and global payments that we treat as reference material for founders building the revenue infrastructure under their product. stripe.com](https://stripe.com/atlas/guides)
- AWS Well-Architected SaaS LensThe AWS Well-Architected SaaS Lens formalises multi-tenant isolation patterns, tenant onboarding, metering and noisy-neighbour control that we apply to every client engagement building on AWS regardless of SaaS scale. docs.aws.amazon.com](https://docs.aws.amazon.com/wellarchitected/latest/saas-lens/)
- Google Cloud Architecture FrameworkThe Google Cloud Architecture Framework covers operational excellence, security, reliability and cost optimization pillars that inform the reference architectures we use for GCP-resident SaaS builds including BigQuery-backed analytics tenants. cloud.google.com](https://cloud.google.com/architecture/framework)
- Azure Well-Architected SaaS GuidanceMicrosoft publishes multi-tenant SaaS guidance for Azure covering deployment stamps, tenant routing and per-tenant cost attribution, which we reference for Microsoft-centric clients and Dynamics 365 adjacent products. learn.microsoft.com](https://learn.microsoft.com/en-us/azure/architecture/guide/saas/saas-overview)
- OWASP SaaS Security ChecklistOWASP maintains application security guidance that we adapt into per-tenant threat models including tenant data isolation failures, authorization bypass and cross-tenant injection risks every multi-tenant platform must treat as first-class concerns. owasp.org](https://owasp.org/www-project-application-security-verification-standard/)
- SOC 2 Trust Services Criteria (AICPA)The AICPA Trust Services Criteria define the controls measured in SOC 2 engagements across security, availability, confidentiality, processing integrity and privacy, which we design into the platform baseline for every SaaS client pursuing enterprise contracts. aicpa-cima.com](https://www.aicpa-cima.com/topic/audit-assurance/audit-and-assurance-greater-than-soc-2)
- Gartner Magic Quadrant for Application PaaSGartner Magic Quadrant reports on application PaaS, API management and iPaaS identify leading platforms and completeness-of-vision trends, which we use to validate vendor selection at discovery before committing a SaaS build to a long-term infrastructure partner. gartner.com2016](https://www.gartner.com/en/documents/2016/)
- Auth0 Identity Best PracticesAuth0 engineering publishes reference guidance on SaaS identity including multi-tenant user pools, social and enterprise SSO, MFA rollout and RBAC modelling, which shapes our default identity architecture for new multi-tenant builds. auth0.com](https://auth0.com/docs/architecture-scenarios/business)
- ProductLed Growth PlaybookThe ProductLed playbook documents onboarding, activation and expansion patterns that the most efficient modern SaaS companies rely on, shaping the free-trial, self-serve and in-product upgrade flows we build into SaaS engagement front ends. productled.com](https://productled.com/product-led-growth-definition/)
What we do not do
- Engagements without engineering leadership to work alongside
- Projects where the client wants advice but not execution
- PM engagements in domains requiring specialized regulatory expertise
- Roles where a full-time PM hire would be better
Digital product management at Pharos Production at a glance
- PM engagements: 10+ embedded product management engagements since 2019 across SaaS, FinTech, healthcare-adjacent and enterprise
- PM level: Senior and principal PMs with 10-20+ years experience; matched to client domain and stage
- Engagement model: Part-time embed (10-20 hours/week) or surge capacity for launches; minimum engagement 3 months
- Pricing: Part-time embed from $12,000/month; surge engagements time-and-materials; full-time handoff after 6-9 months
- Timeline: Onboarding 1-2 weeks; typical engagement 3-9 months; handoff with 30-day overlap
- Specializations: Pre-PMF discovery, roadmap stabilization, launch execution, continuous discovery coaching, PM process introduction
- Honest scope: We recommend full-time hires over embeds when engagement would run longer than 9 months
Embedded PM engagements in practice
Embedded PM engagements run as a lightweight commitment: discovery defines the product surface and success criteria; the embedded PM joins client ceremonies from day one; regular check-ins with Pharos engagement manager; handoff when a permanent PM is hired or the engagement scope closes.
Pharos Verified Delivery·4-phase methodology with typical durations and deliverables
Week 0__Week 2-4__Week 8-24__Launch day__Ongoing
- 01
- Technical validation
- Architecture proposal
- Scope refined estimate
0% on-schedule with discovery
- 02
- Working demos every sprint
- CTO review at milestones
- ADRs documented
Transparent progress tracking
- 03
- Monitoring and alerting
- Security audit Pen test
- Runbooks and rollback
ISO 27001 aligned
- 04
- Security patches
- Performance tuning
- 4h SLA response
Continuous improvement
Pharos Verified Delivery applied to 0+ production applications since 2013
Product leadership engagements we ran
Three engagements where Pharos embedded product managers helped startups and mid-market teams ship more deliberately.
Pre-PMF startupQ1 2025 · Series A startup, US
Before
Founder-led product with no PM. Roadmap changing weekly based on customer calls. Engineering burned out on constant context switches.
After
Pharos PM embedded at 15 hours per week for 7 months. Roadmap stabilized around 3 outcome-driven bets. Engineering velocity recovered; team morale improved measurably.
The PM did not do anything fancy - she just made the "no" calls the founder was too close to make. By month 3, the roadmap was a single page with 3 bets and explicit "not now" items. Engineering knew what they were building and why.
Launch surge capacityQ4 2024 · Mid-market SaaS, EU
Before
Internal PM team needed surge capacity for a major launch. Hiring a full-time PM would have taken 4 months; launch was in 3.
After
Pharos PM embedded for the 3-month launch window. Launch shipped on time with all 4 core features. Internal PM team stayed focused on post-launch iteration.
Surge PM engagements work well with clear scope. We defined exactly what the embedded PM owned (feature spec + cross-functional coordination for 4 features) and what the internal team owned (strategy, roadmap beyond launch). No ambiguity meant no friction.
Product discovery coachingQ3 2024 · Mid-market B2B, US
Before
Engineering team strong but no formal product discovery process. Features shipped, some landed, some did not.
After
Pharos PM embedded for 6 months, introducing continuous discovery, user research cadence and outcome-based roadmap planning. Feature success rate up from 40% to 78%.
We brought Teresa Torres's continuous discovery framework and applied it to the client's context. The framework is not secret - the value was actually running it weekly until the team internalized the habits.
Client names anonymized under NDA. Full case studies at /cases/.
When embedded PM is not the answer
We decline roughly 30% of RFPs we receive. Forcing a bad fit costs both sides 3-6 months and damages outcomes. Here is how we think about scope:
Projects we decline
- Engagements where the client wants advice but not execution
- Projects without engineering leadership to work alongside
- Domains requiring specialized regulatory expertise (healthcare, defense) where Pharos lacks depth
- Roles where a full-time PM hire would be better (skip the embed, hire directly)
- PM engagements with no clear success criteria
We recommend a full-time hire when it fits
Embedded PM is the right call for pre-PMF startups, surge capacity during launches, and organizations that want to introduce PM practices without committing to a full-time hire yet. When the engagement would naturally run longer than 9 months, a full-time hire is usually better - the embed makes sense as a bridge, not a permanent solution.
Pharos product management portfolio
Pharos product management delivery portfolio observations, 2020-2026
Observations from 12 product management engagements 2020-2026 across B2B SaaS, FinTech, healthcare SaaS and vertical SaaS portfolios.
9 of 12 Missing PQL definition 9 of 12 products we inherited had no shipped PQL definition. Adding one surfaced 2-3x expansion pipeline the revenue team had not seen.[12]
7% to 28% Feature kill rate uplift Feature kill rate averaged 7% on inherited roadmaps. Instrumenting adoption per cohort moved it to 28% by quarter two, which freed engineering capacity for high-lift work.
+18 pts Activation uplift Activation uplift on engagements that rebuilt onboarding against a named first-value event averaged 18 percentage points month over month.
8 of 12 Privacy artefact debt Privacy and security artefact debt (DPIA, data map, SOC 2 mapping) was missing on 8 of 12 products. Shipping it in PM surface rather than legal silo cut time-to-enterprise-contract 4-6 weeks.[9]
Digital product management outlook 2026-2027
Digital product management outlook 2026-2027 pivots from roadmap-driven cadence toward outcome-tied discovery with embedded analytics and per-tenant experimentation in every SaaS surface.
Outcome-tied PM contracts
Outcome-tied PM contracts (NRR, activation rate, feature adoption as primary KPIs) replaced feature-count roadmaps in scaled SaaS teams.[1]
Product-led growth instrumentation
Product-led growth instrumentation (activation, expansion, PQL scoring) became the default discovery layer rather than a premium add-on.[12]
Per-tenant experimentation
Per-tenant experimentation with feature flags plus cohort analytics replaced site-wide A/B tests in B2B SaaS because tenant variance broke global significance thresholds.[3]
SOC 2 plus privacy-by-design PM artefacts
SOC 2 plus privacy-by-design PM artefacts (DPIAs, data maps, retention policies) moved into the PM surface rather than staying in legal silos.[9]
Product management 90-day evaluation template
Evaluate a product management function at the 90-day mark using this 8-point check before you scale team or roadmap commitments.
- 1
North-star metric
North-star metric defined with numeric baseline, target and cadence of review.
- 2
Cohort funnels
Activation, retention and expansion funnels instrumented per tenant cohort.[3]
- 3
PQL definition
PQL definition shipped and validated against a live cohort within 60 days.
- 4
Experimentation platform
Feature flag and experimentation platform live with at least 3 active per-tenant experiments.
- 5
Discovery cadence
Named user interviews per week, insights logged and triaged.
- 6
Privacy artefacts
DPIA per major surface, data map, SOC 2 control mapping.[8]
- 7
PM and engineering RACI
PM and engineering RACI documented; escalation pathway for scope debt.
- 8
Outcome review
Quarterly outcome review with revenue leader, not only internal PM review.
Production post-mortem
Lesson from a 2024 B2B SaaS engagement
The engagement covered a vertical HR tech product with 410 tenants and 38k seats. The original roadmap optimized feature count per quarter. Month 4 NRR was 98% and activation held at 41%. We re-anchored the PM function to two north-star metrics (activation on first value event, expansion on second paid seat) and rebuilt the roadmap around the 3 features with measured lift on those cohorts.[12] We killed 6 shipped features that had zero impact on either metric and redirected engineering to onboarding, notifications and the in-product upgrade path. The rule that now ships with every engagement: if a feature cannot map to a named cohort metric, it does not get built.
Activation moved from 41% to 63% in 2 quarters and NRR passed 112% in quarter three.
Product outcomes depend on team execution
Pharos Production provides embedded product management. Product outcomes depend on team execution, market conditions and factors outside product management control. We are honest about this during scoping.
Platforms We Work With
Trusted by Coinbase, Consensys, Core Scientific, MicroStrategy, Gate.io and 10+ more Web3 and enterprise platforms
-16611+ partners
Our 16 technology partners include:
Consensys
Gate Io
Coinbase
Core Scientific
Debut Infotech
Axoni
Alchemy
Starkware
Mara Holdings
Microstrategy
Nubank
Okx
Uniswap
Riot
Leeway Hertz
Consensys
Gate Io
Coinbase
Ludo](https://ludo.com/)
Core Scientific
Debut Infotech
Axoni
Alchemy
Starkware
Mara Holdings
Microstrategy
Nubank
Okx
Uniswap
Riot
Leeway Hertz
Founder and CTO Pharos Production
Ask the founder a question
I design and build reliable software solutions – from lightweight apps to high-load distributed systems and blockchain platforms.
PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.
13 years in architecture of great software solutions tailored to customer needs for startups and enterprises
23 years of practical enterprise customized software production experience
Lecturer at the National Kyiv Polytechnic University
Doctor of Philosophy in Artificial Intelligence
Master’s degree in Computer Science, completed with excellence
Master’s degree in Electronics and precision mechanics engineering
Discovery
Discovery workshop
Current-state audit, use-case validation and strategic roadmap for your leadership team.
$2,500 - $7,500
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Strategy
Strategic engagement
Deep-dive assessment, technology selection, architecture blueprint and phased implementation plan.
$9,000 - $22,000
Transformation
Transformation program
Full advisory retainer covering strategy, delivery oversight, governance and change management.
$21,000 - $50,000+
Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.
Or select the appropriate interaction model
01
Request staff augmentation
Need extra hands on your software project? Our developers can jump in at any stage – from architecture to auditing – and integrate seamlessly with your team to fill any technical gaps.
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Hire dedicated experts
Whether you’re building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.
03
Outsource your project
From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.
Frameworks 26AI 45Blockchains 37DevOps 15Clouds 6Databases 15Brokers 7Tests 6Programming 18UI/UX 12
Frameworks
Backend Frameworks 8
Spring Boot
Erlang OTP
\ \ NodeJS](/content/technologies/nodejs-development-services/index.html)
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NestJS
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Front End Frameworks 8
\ \ React](/content/technologies/react-development-services/index.html)
Next.JS
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Remix
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Mobile Apps Frameworks 10
\ \ iOS](/content/technologies/swift-and-swiftui-development-services/index.html) \ \ Android](/content/technologies/kotlin-development-services/index.html) \ \ Flutter](/content/technologies/flutter-development-services/index.html) \ \ React Native](/content/technologies/react-native-development-services/index.html)
Capacitors
Ionic
\ \ Swift](/content/technologies/swift-and-swiftui-development-services/index.html) \ \ Kotlin](/content/technologies/kotlin-development-services/index.html) \ \ Java](/content/technologies/java-development-services/index.html) Dart
AI and Machine Learning
LLM Providers 8
Google Gemini
Meta Llama
Mistral AI
Cohere
Ollama
xAI Grok
AI Frameworks 15
CrewAI
AutoGen
Hugging Face PyTorch TensorFlow
scikit-learn
XGBoost
LightGBM
OpenCV
spaCy
ONNX Runtime
Vector Databases 7
Pinecone
Weaviate
Qdrant
Chroma
pgvector
Milvus
FAISS
MLOps and Infrastructure 11
MLflow
Weights & Biases
DVC
Kubeflow
AWS SageMaker Azure ML Google Vertex AI
NVIDIA Triton
Airflow
Ray Serve
vLLM
AI Agent Tools 4
Semantic Kernel
Haystack
Blockchains
Private and Public Blockchains 33
Ethereum
TON
Corda
Tron
Hedera
Stellar
Consensys GoQuorum
Solana
Arbitrum
Binance Smart Chain (BSC)
Sei
Celo
Hyperledger
MultiversX
IOTA
Polkadot
Aptos
Neo
Flow
Algorand
Avalanche
EOS
Optimism
Polygon
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Sui
Tezos
Ontology
Fantom
NEAR Protocol
VeChain
Base
IPFS
Cloud Blockchain Solutions 4
Amazon Managed Blockchain
Amazon QLDB
IBM Blockchain
Oracle Blockchain
DevOps
DevOps Tools 15
\ \ Kubernetes](/content/technologies/docker-and-kubernetes-development-services/index.html)
Terraform
\ \ Docker](/content/technologies/docker-and-kubernetes-development-services/index.html)
Istio
Prometheus
Grafana
Jenkins
ArgoCD
Ansible
GitHub Actions
GitLab CI
Pulumi
Datadog
New Relic
Vault
Clouds
Clouds 6
\ \ Amazon Web Services](/content/technologies/aws-development-services/index.html) \ \ Azure](/content/technologies/azure-development-services/index.html) \ \ Google Cloud](/content/technologies/google-cloud-development-services/index.html)
Cloudflare
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DigitalOcean
Databases
Databases 15
PostgreSQL
MySQL MariaDB
Redis
Cassandra
Neo4J
MongoDB
Elasticsearch
Solr
Ignite
ClickHouse
TimescaleDB
DynamoDB
Supabase
CockroachDB
ScyllaDB
Brokers
Event and Message Brokers 7
Kafka
RabbitMQ
Flink
Apache Pulsar
Amazon SQS
Amazon SNS
NATS
Tests
Test Automation Tools 6
Postman
Appium
Cucumber
Selenium
JMeter
Cypress
Programming
Programming Languages 18
\ \ Solidity](/content/technologies/solidity-development-services/index.html)
FunC
\ \ Rust](/content/technologies/rust-development-services/index.html) \ \ GoLang](/content/technologies/golang-development-services/index.html) \ \ Elixir](/content/technologies/elixir-development-services/index.html)
Erlang
C++
\ \ Java](/content/technologies/java-development-services/index.html)
JavaScript
\ \ TypeScript](/content/technologies/typescript-development-services/index.html)
Scala
SQL
UI/UX
UI/UX Design Tools 12
Figma
Zeplin
InVision
Sketch
Miro
Marvel
Balsamiq
Photoshop
Illustrator
XD
After Effects
Corel Draw
Frameworks 26
Frameworks
Backend Frameworks 8
Spring Boot
Erlang OTP
\ \ NodeJS](/content/technologies/nodejs-development-services/index.html)
Phoenix
NestJS
Express.js
Front End Frameworks 8
\ \ React](/content/technologies/react-development-services/index.html)
Next.JS
Svelte
Remix
Astro
Nuxt.js
Mobile Apps Frameworks 10
Capacitors
Ionic
AI 45
AI and Machine Learning
LLM Providers 8
Google Gemini
Meta Llama
Mistral AI
Cohere
Ollama
xAI Grok
AI Frameworks 15
CrewAI
AutoGen
scikit-learn
XGBoost
LightGBM
OpenCV
spaCy
ONNX Runtime
Vector Databases 7
Pinecone
Weaviate
Qdrant
Chroma
pgvector
Milvus
FAISS
MLOps and Infrastructure 11
MLflow
Weights & Biases
DVC
Kubeflow
NVIDIA Triton
Airflow
Ray Serve
vLLM
AI Agent Tools 4
Semantic Kernel
Haystack
Blockchains 37
Blockchains
Private and Public Blockchains 33
Ethereum
TON
Corda
Tron
Hedera
Stellar
Consensys GoQuorum
Solana
Arbitrum
Binance Smart Chain (BSC)
Sei
Celo
Hyperledger
MultiversX
IOTA
Polkadot
Aptos
Neo
Flow
Algorand
Avalanche
EOS
Optimism
Polygon
Cosmos
Sui
Tezos
Ontology
Fantom
NEAR Protocol
VeChain
Base
IPFS
Cloud Blockchain Solutions 4
Amazon Managed Blockchain
Amazon QLDB
IBM Blockchain
Oracle Blockchain
DevOps 15
DevOps
DevOps Tools 15
\ \ Kubernetes](/content/technologies/docker-and-kubernetes-development-services/index.html)
Terraform
\ \ Docker](/content/technologies/docker-and-kubernetes-development-services/index.html)
Istio
Prometheus
Grafana
Jenkins
ArgoCD
Ansible
GitHub Actions
GitLab CI
Pulumi
Datadog
New Relic
Vault
Clouds 6
Clouds
Clouds 6
Cloudflare
Vercel
DigitalOcean
Databases 15
Databases
Databases 15
PostgreSQL
MySQL MariaDB
Redis
Cassandra
Neo4J
MongoDB
Elasticsearch
Solr
Ignite
ClickHouse
TimescaleDB
DynamoDB
Supabase
CockroachDB
ScyllaDB
Brokers 7
Brokers
Event and Message Brokers 7
Kafka
RabbitMQ
Flink
Apache Pulsar
Amazon SQS
Amazon SNS
NATS
Tests 6
Tests
Test Automation Tools 6
Postman
Appium
Cucumber
Selenium
JMeter
Cypress
Programming 18
Programming
Programming Languages 18
\ \ Solidity](/content/technologies/solidity-development-services/index.html)
FunC
Erlang
C++
\ \ Java](/content/technologies/java-development-services/index.html)
JavaScript
\ \ TypeScript](/content/technologies/typescript-development-services/index.html)
Scala
SQL
UI/UX 12
UI/UX
UI/UX Design Tools 12
Figma
Zeplin
InVision
Sketch
Miro
Marvel
Balsamiq
Photoshop
Illustrator
XD
After Effects
Corel Draw
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0+ industry awards
Our Process
An approach to the development cycle
The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint there is a retrospective of the work done, planning for the next sprint, a report of the work done and a plan for the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
- 2 days
Team Assembly
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
- 1-4 months
MVP
We’ll design, build, and launch your MVP, ensuring it meets the core requirements of your software solution.
- 6-12 months
Production
We’ll create a complete software solution that is custom-made to meet your exact specifications.
- Ongoing
Continuous Support
Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.
FAQ
Last updated: April 27, 2026
Quick answers to common questions about custom software development, pricing, process and technology.
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How does embedded PM differ from coaching?
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Coaching is giving advice. Embedded PM is doing the work.
Our PMs sit in client standups, write specs, run user research sessions, make trade-off calls and own outcomes alongside the client team. If the client wants advice without execution, a fractional CTO or strategy consultant is a better fit.
How much does an embedded PM cost?
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Part-time embed (10-20 hours/week) from $12,000/month. Surge engagements are time-and-materials.
Typical engagement 3-9 months. Full-time hire transition fee applies if the client wants to convert the PM to a full-time employee.
When should we hire full-time instead?
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Hire full-time when you know the engagement would naturally run longer than 9 months, when the PM needs to build long-term relationships with customers and stakeholders, or when you have the budget for a senior PM ($180K-$280K base). Embedded PM is a bridge; full-time is the permanent solution.
When does Pharos decline?
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We decline advisory-only engagements, projects without engineering leadership to work alongside, domains requiring specialized regulatory expertise we lack, and engagements where a full-time hire would obviously be better.
The Pharos takeaway on product management
Product management earns its multiple only when it ties engineering investment to measured business outcomes per cohort, not when it ships on time against a roadmap nobody funded with discovery data. Pharos runs PM engagements with instrumented funnels, per-tenant experimentation, PQL definitions and SOC 2-grade privacy artefacts wired into the product surface from week one.[1]
Book a 30-minute product management audit call →
Dmytro Nasyrov Founder & CTOLet’s work together!
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Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.
Las Vegas, United States
Headquarters PST (UTC-8)
5348 Vegas Dr, Las Vegas, Nevada89108, United States
Kyiv, Ukraine
Engineering office EET (UTC+2)