Full-Time

Business Development Representative

Mactores

Mactores

51-200 employees

Technology consulting for AI, IoT, Cloud

No salary listed

Seattle, WA, USA

Remote

Category
Sales & Account Management (1)
Required Skills
Machine Learning
AWS
Requirements
  • 3–5 years in a BDR, SDR, or partner-development role, with a demonstrated ability to source qualified pipeline from a cold start.
  • Comfortable talking to AWS field teams.
  • Comfortable with technical concepts of cloud modernization, data platforms, and agentic artificial intelligence without being the engineer in the room; you can read an architecture diagram and discuss a case study, and you do not need to debug a Lambda.
  • Sharp business-value articulation: you can take a messy customer problem statement, restate it in two sentences, and show how Mactores ships against it.
  • A self-managed work style in a remote, distributed AWS field environment; you are not dependent on daily stand-up supervision of your activity.
  • Willingness to travel roughly 30% across the United States to AWS offices, customer sites, AWS Summits, re:Invent, and regional partner events.
Responsibilities
  • Build coverage across AWS United States sales territories, account managers, partner-development managers, and specialist sellers (Data, AI/ML, Modernization).
  • Reach out, follow up, show up at AWS Summits and regional partner events, and build named relationships.
  • Walk AWS representatives through what agent-native AWS modernization means in practice and why that is different from what every other partner in their deck says.
  • Anchor every conversation in shipped Mactores case studies named customer, named baseline, named outcome, time-to-value, and cost reduction.
  • Identify customer fit, frame the business problem, articulate Mactores' business value, and tee up the technical demo.
  • Hand off to the forward-deployed engineer for the architecture and technical walkthrough, ensuring the FDE walks into a qualified room.
  • Source Amazon-originated opportunities into the Mactores pipeline; register them in ACE; keep the AWS representative in the loop through cycle close.
  • Feed market signal back to Mactores leadership about what AWS representatives are hearing from customers, where partner conversations are shifting, and what messaging is landing.
Desired Qualifications
  • Prior work at an AWS partner, exposure to AWS Partner Central, ACE, or MAP, and time on the floor at AWS Summits or re:Invent are preferred, not required.
  • MAP-eligible, AWS Agentic AI Specialized, and holds seven AWS Consulting Competencies and seventeen Service Validations.

Mactores combines technology consulting with product development to solve business problems using AI, Fast Data, Industrial IoT and Cloud. It designs and implements AI-driven analytics, real-time data processing, IoT edge and cloud platforms to create business value. Its approach centers on keeping customers at the core and blending deep tech skills with industry knowledge to deliver measurable impact. The goal is to achieve exceptional results with lasting benefits for businesses, communities and individuals, while growing into a leading technology consulting and product firm.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Seattle, Washington

Founded

2008

Simplify Jobs

Simplify's Take

What believers are saying

  • AWS Strategic Collaboration Agreement drives agentic AI adoption in enterprises.
  • Adani Power partnership boosts revenue via Timestream, SageMaker, and Forecast.
  • Reported 5x faster migrations at one-third cost and 90% automation rates.

What critics are saying

  • Talent attrition to Accenture erodes team in 6-12 months.
  • Adani Power bypasses Mactores for direct AWS engagement in 12-18 months.
  • AWS Bedrock Agents commoditize specializations, obsoleting PoV in 18-24 months.

What makes Mactores unique

  • Mactores specializes in AWS agentic AI for regulated enterprises like healthcare and finance.
  • Three AI agents and 90-day Proof of Value framework automate critical decisions compliantly.
  • Over 500 projects delivered since 2008 with 200+ AWS-certified experts.

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Company News

The Associated Press
Jan 28th, 2026
Mactores secures AWS agentic AI specialisation to automate critical decisions for regulated enterprises

Mactores Cognition, a full-stack AI services company and AWS Advanced Consulting Partner, has formalised its AWS-native agentic AI delivery model to help regulated enterprises automate critical decisions. The Bellevue-based firm focuses on healthcare, financial services, manufacturing and telecoms whilst maintaining compliance and auditability. Founded in 2008, Mactores has delivered over 500 projects for 50-plus enterprise clients with a team of 200-plus AWS-certified experts. The company holds multiple AWS competencies, including Generative AI Services, Healthcare and Agentic AI Specialisation. Its approach uses three AI agents and a 90-day Proof of Value framework. Mactores reports outcomes including 5x faster migrations at one-third the cost, 75% efficiency improvements and 90% automation rates. The company operates under a Strategic Collaboration Agreement with AWS.

Mactores
Jan 8th, 2025
Unified Data and AI with Amazon SageMaker LakeHouse

In this blog post, Mactores Cognition Inc'll delve deeper into the core efficiencies of Amazon SageMaker, explore the latest innovations unveiled at re: Invent 2024, and uncover how SageMaker Lakehouse can empower you to build cutting-edge AI solutions with unparalleled speed and agility.

GlobeNewswire
Dec 19th, 2024
Mactores Cognition Inc. Achieves AWS Generative AI Competency

Mactores Cognition Inc. has earned AWS Accredited Competency for Generative AI Solutions, validating its expertise in delivering secure, scalable AI-driven innovations.

Mactores
Apr 16th, 2024
Cloud Revolution: Mactores' Strategies in Driving Cloud Adoption

Adani Power: By partnering with Mactores and AWS, Adani Power overcame scalability challenges and improved operational efficiency through real-time data analysis on AWS, including using Amazon Timestream, SageMaker, and Forecast, reducing costs and increasing revenue.