bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesCaptivateIQStaff Software Engineer - AI Platform

Staff Software Engineer - AI Platform

CaptivateIQ · Austin, Texas · Hybrid · Active · $181,289–$285,272 / year · Lever

Job facts

FieldValue
CompanyCaptivateIQ
TitleStaff Software Engineer - AI Platform
Normalized title-
Department / teamEngineering / International Software Engineering Team
LocationAustin, TX, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$181,289–$285,272 / year
Statusactive
ATS providerLever
Posted / first seen2026-03-25 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from CaptivateIQ.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCaptivateIQ
Source0bf4c270-92a3-432e-ba20-e20d35650cd5
ATS providerLever

Description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance. About the Role CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Staff Software Engineer** to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features. This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at CaptivateIQ, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards. As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact. This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization. Job Location Remote - US CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States Responsibilities Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns Own technical decisions with organization-wide impact where the right answer is ambiguous or contested Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications Requirements 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization Track record of setting technical strategy that spans multiple teams and multi-year time horizons Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives Demonstrated ability to make high-stakes technical decisions under extreme ambiguity Strong mentorship track record, particularly in developing senior engineers toward staff-level impact Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space Bonus Strong proficiency in Python and experience with Django or similar backend frameworks Full-stack capabilities with React and TypeScript Experience building and scaling internal AI/ML platforms or developer experience infrastructure Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent) Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool ecosystems Experience with AI evaluation, observability, and production monitoring at enterprise scale Published technical writing, conference talks, or significant open-source contributions in AI/ML Background building AI-powered products that shipped to enterprise customers with measurable business impact Experience at a B2B SaaS company during periods of significant growth or platform expansion Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains Benefits Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents. Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge. Annual Stipends: Dedicated funds for your professional development and caretaking needs. Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does. Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future. Premium Tools: The latest Apple hardware to empower you to do your best work. Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives. Notice to Prospective Candidates Only emails from @captivateiq.com should be trusted. We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc. Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology. Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ. Ask candidates to make a payment in order to be considered for a position. Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc. Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made. Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.

Full job record

Job ID4826f41d76b75ff3db6489380af08306c7a55154
Org ID7d1268f5-6ecc-47fe-89af-6c3b11ab511e
Source ID0bf4c270-92a3-432e-ba20-e20d35650cd5
Board ID0bf4c270-92a3-432e-ba20-e20d35650cd5
Providerlever
Provider Job Key28da18cc-f325-4d62-a6d9-8d080960def5
TitleStaff Software Engineer - AI Platform
Normalized Title
Statusactive
Activeyes
Location TextAustin, Texas
DepartmentEngineering
TeamInternational Software Engineering Team
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionTX
CityAustin
Salary RawUSD 181289-285272 per-year-salary
Salary Min181,289
Salary Max285,272
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/captivateiq/28da18cc-f325-4d62-a6d9-8d080960def5
Apply URLhttps://jobs.lever.co/captivateiq/28da18cc-f325-4d62-a6d9-8d080960def5/apply
First Seen At2026-05-29 07:00:17Z
Last Seen At2026-06-06 19:04:56Z
Last Checked At2026-06-06 19:04:56Z
Last Changed At2026-05-29 07:00:17Z
Inactive At
Source Posted At2026-03-25 16:28:16Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=captivateiq/date=2026-06-06/2026-06-06T19-04-55-132Z-cbfc61101a97d00e17d5f6cf59c97caeec185eac1e9799a505189692f5886b6c.json
Event Fields
{
  "content_hash": "acc599fc19908f4a088bd7b2f957e65051a5d381cb912af5200414e93d03b55d",
  "source_hash": "1823bd684d49e79ad248223cab4a5cb9ce430c51ffba6c90c7a54ee5f7ddf9f7",
  "last_changed_at": "2026-05-29T07:00:17.730Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Austin, Texas",
    "city": "Austin",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": 285272,
  "salary_min": 181289,
  "inferred_at": "2026-06-06T19:04:56.176Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Austin, Texas",
      "city": "Austin",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Responsibilities ",
      "content": "\n<li>Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision</li>\n<li>Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns</li>\n<li>Own technical decisions with organization-wide impact where the right answer is ambiguous or contested</li>\n<li>Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams</li>\n<li>Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities</li>\n<li>Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking</li>\n<li>Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications</li>\n"
    },
    {
      "text": "Requirements",
      "content": "\n<li><span style=\"font-family: Arial, sans-serif; font-size: 11pt;\">8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Track record of setting technical strategy that spans multiple teams and multi-year time horizons</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Demonstrated ability to make high-stakes technical decisions under extreme ambiguity</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Strong mentorship track record, particularly in developing senior engineers toward staff-level impact</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space<br></span></li>\n"
    },
    {
      "text": "Bonus",
      "content": "<div>\n\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Strong proficiency in Python and experience with Django or similar backend frameworks</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Full-stack capabilities with React and TypeScript</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Experience building and scaling internal AI/ML platforms or developer experience infrastructure</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool&nbsp; &nbsp; ecosystems</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Experience with AI evaluation, observability, and production monitoring at enterprise scale</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Published technical writing, conference talks, or significant open-source contributions in AI/ML</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Background building AI-powered products that shipped to enterprise customers with measurable business impact</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Experience at a B2B SaaS company during periods of significant growth or platform expansion</span></li>\n<li><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains</span></li>\n\n</div>"
    },
    {
      "text": "Benefits",
      "content": "\n<li>Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.</li>\n<li>Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.</li>\n<li>Annual Stipends: Dedicated funds for your professional development and caretaking needs.</li>\n<li>Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.</li>\n<li>Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.</li>\n<li>Premium Tools: The latest Apple hardware to empower you to do your best work.</li>\n<li>Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.</li>\n"
    },
    {
      "text": "Notice to Prospective Candidates",
      "content": "\n<li>Only emails from @captivateiq.com should be trusted.</li>\n<li>We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.</li>\n<li>Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.</li>\n<li>Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.</li>\n<li>Ask candidates to make a payment in order to be considered for a position.</li>\n<li>Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.</li>\n<li>Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.</li>\n<li>Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1774456096484,
  "updatedAt": null,
  "categories": {
    "team": "International Software Engineering Team",
    "location": "Austin, Texas",
    "commitment": "Full-time",
    "department": "Engineering",
    "allLocations": [
      "Austin, Texas",
      "Toronto",
      "Nashville, Tennessee",
      "Raleigh, North Carolina"
    ]
  },
  "salaryRange": {
    "max": 285272,
    "min": 181289,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/4826f41d76b75ff3db6489380af08306c7a55154?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/7d1268f5-6ecc-47fe-89af-6c3b11ab511eJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/0bf4c270-92a3-432e-ba20-e20d35650cd5JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/4826f41d76b75ff3db6489380af08306c7a55154/eventsJSON