---
title: 'Senior Solutions Architect, CSP at Ocient Inc.'
canonical: 'https://feeny.ai/job/senior-solutions-architect-csp-ocient-inc-united-states-nth5e31f4fv7'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Solutions Architect, CSP at Ocient Inc.

- **Company:** Ocient Inc.
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/ocient-inc-/am9icG9zdDpTsX5-ZRc54W0P8d_HiAPV

## Job description

Job Title:  Senior Solutions Architect, Communications Service Providers Location: Remote (US Only) Up to 50% travel to customer sites, partner workshops and Ocient offices as needed *We cannot sponsor or transfer any visas, of any kind now or in the future (ex. OPT, EAD, H1B, H4, etc.)* Hiring Manager: VP of CSP Solutions Estimated salary range: ​Base: $160,000 to $200,000 ​Expected OTE: $214,000 to $300,000

- The salary offered for this position will be based on a candidate’s experience and skill demonstrated during interviews and other evaluations

Position Overview The Senior Solutions Architect owns the technical win for assigned CSP opportunities, partnering with the customer, Account Executives, Field CTOs, Delivery, Product, and strategic partners from discovery through proof of value and production planning. You work shoulder to shoulder with Account Executives to build pipeline, qualify opportunities, prove technical value, and drive the technical close.

You will design OcientAIQ solutions across CSP use cases including cybersecurity, autonomous networks, billing and revenue assurance, lawful disclosure, and network performance. You will orchestrate joint engagements with strategic SI and technology partners and architect the integration between Ocient and the customer's existing cloud data and AI ecosystem. The economics matter: on-prem capacity-based economics for the heavy analytics work, with governed, business-ready data products ready to publish to the cloud platforms customers already own.

The role is measured by technical wins, successful proof-of-value engagements, production readiness, and repeatable customer outcomes.

## Responsibilities

- Lead technical strategy for assigned CSP opportunities, partnering with Account Executives to build pipeline, qualify opportunities, shape deal strategy, and drive the technical win.
- Run customer discovery workshops to gather use cases, data sources, data volumes, ingest rates, success criteria, performance requirements, concurrency, retention, time-to-queryability, and
- deployment modalities.
- Design end-to-end OcientAIQ and Telemetry as a Service solutions, including data products, governance, lineage, and integration with the customer's cloud data and AI environment.
- Advise customers on hybrid architecture and economics, balancing on-prem capacity economics for heavy analytics with cloud consumption models for downstream AI, reporting, and application
- workloads.
- Orchestrate technical partner engagement on joint opportunities, defining integration points, governance handoffs, and joint solution architectures.
- Own customer specification documents covering requirements, success criteria, assumptions, risks, architecture decisions, and future roadmap. Iterate as engagements evolve.
- Partner with Delivery, Data Engineering, and Customer Solutions on schema, workload testing, pilot execution, and system sizing for pilot and production. Tune workloads with Ocient's workload
- optimization team for CSP-specific data shapes.
- Create demonstrations, reference architectures, and partner co-selling collateral with Account Executives.
- Carry field feedback into Product Management and Engineering. Help onboard and develop Solutions Engineering and Solutions Architect teammates.

Ideal Qualifications

- 7+ years of customer-facing solutions architecture, sales engineering, field engineering, or technical consulting experience, with significant experience in CSP, telecommunications, network
- analytics, OSS/BSS, security analytics, or high-volume telemetry environments.
- Deep hands-on experience with OLAP, real-time analytics, and data warehousing across cloud and on-prem.
- Hands-on integration experience with at least one major cloud data or AI ecosystem such as Databricks, Snowflake, BigQuery, Redshift, Azure, AWS, or Google Cloud, plus exposure to AI, RAG,
- agentic, or LLM application frameworks.
- Experience with high-volume ingest patterns, including Kafka, file-based ingest, object storage, streaming, batch, CDC, or similar data movement architectures.
- Familiarity with retrieval-augmented generation, structured data products, lineage, and governance, and the trade-offs involved when designing data layers for agentic AI.
- Strong technical leadership and business acumen. You earn trust with customer architects, partner principals, and executives in the same conversation.
- Hands-on experience with ETL / ELT, SQL, and CSP data formats such as CDR, IPDR, IPFIX/NetFlow, ASN.1, syslog, OSS event streams, packet metadata, KPI feeds, and similar telemetry.
- Experience working alongside strategic SI or technology partners on joint customer engagements is a plus.
- Familiarity with semantic layers, ontology, knowledge graphs, or graph analytics is a plus.
- Hands-on experience designing data products, pipelines, or knowledge structures for AI agent or LLM consumption is a plus.
- Strong writing and presentation skills for requirements documents, partner briefs, and executive narratives.
- Self-starter with strong organizational skills across multiple concurrent opportunities.
- Willing to travel up to 50% of the time

## About Ocient Inc.

## Company Overview
- **One-liner**: Ocient delivers OcientAIQ, a unified data platform that brings trusted agentic AI directly to petabyte-scale enterprise data without moving it across fragmented systems.
- **Entity Type**: Private (venture-backed) – total funding $156.5M
- **Headquarters**: Chicago, Illinois, United States
- **Founded**: 2016
- **Founders**: Greg Papadopoulos (Co-Founder & VP of Customer Success & Quality), Joe Jablonski (Co-Founder & Chief Solutions Officer)

## Core Business
- Primary industries: Data & AI software, large-scale data analytics, agentic AI infrastructure
- Target customers: B2B Enterprise – organizations with massive datasets (government, national security, financial services, telecom, energy)
- Mission: “To deliver trusted agentic AI solutions that work in production at petabyte scale – helping the organizations doing the most consequential work in the world realize the full value of their data.”

## Products & Services
- **OcientAIQ™**: Complete ecosystem for building and deploying trusted agentic AI solutions at petabyte scale. Brings AI directly to data with built-in governance, compliance, and deployment options. Handles structured and semi-structured data in a single platform. (SaaS / platform)

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metric**: Annual revenue ~$60M; total funding $156.5M (Series A, Series B, debt financing)
- **Notable Investors**: Greycroft, OCA Ventures, In-Q-Tel, Buoyant Ventures, TechNexus Venture Collaborative
- **Growth Signals**: Headcount 185 (+33.3% YoY); actively hiring with 10 open positions (+900% YoY in job postings); remote-first global workforce across 11 countries; carbon-neutral operations including LEED-certified data center; LinkedIn followers grew 29.6% YoY

## Competitive Advantages
- Founded by the team that built Cleversafe (acquired by IBM) – deep domain expertise in petabyte-scale data systems
- Purpose-built for organizations that cannot afford AI errors (national security, critical infrastructure)
- Unified platform eliminates data movement, reducing cost and latency at extreme scale
- Built-in trust and compliance controls for regulated industries
- Remote-first, carbon-neutral culture attracts top engineering talent

## Strategic Focus
- Scaling OcientAIQ ecosystem for enterprise adoption
- Expanding agentic AI capabilities (trusted, production-ready)
- Continuing international growth (India, Canada, Europe, Singapore)
- Heavy investment in engineering talent: open roles in distributed systems, ML, geospatial, SRE, QA automation, product management

## Why Work Here
- **Culture**: Craft-driven, autonomous, collaborative, inclusive, and ethical. “We are industry-leading experts … driven to deliver the best and brightest solutions.”
- **Work model**: Remote-first – team distributed across 11 countries
- **Impact**: Work on problems that protect networks, secure nations, and power the global economy
- **Compensation**: Sr. Software Engineer ~$172K/year; Software Engineer I ~$97K/year (LinkedIn data)
- **Perks**: Carbon-neutral operations, LEED-certified data center, commitment to UN Sustainable Development Goals
- **Rating**: 4.1/5.0 on LinkedIn (35 reviews) – culture and career score 4.2, work-life 4.1
- **Notable alumni destinations**: Google, Amazon, MongoDB, Citadel Securities

## Sources
1. [ocient.com/careers](https://ocient.com/careers/)
2. [linkedin.com/company/ocient](https://linkedin.com/company/ocient)
3. [ocient.com/about-ocient](https://ocient.com/about-ocient/)
4. [jobs.gem.com/ocient-inc-](https://jobs.gem.com/ocient-inc-)

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