Business Development Representative

Mactores • Seattle, WA

1d • Remote

About The Position

Mactores is the agent-native AWS modernization firm. We ship AWS modernization to production in weeks, data platforms migrated, legacy applications and databases refactored, AI agents running against real data, for mid-market and lower-enterprise companies in financial services, healthcare and life sciences, internet and software, manufacturing, and TMEGS. Our delivery model is built around AI agents that absorb the repetitive 60–70% of engagement work, discovery, schema mapping, validation, test generation, cutover rehearsal, that traditional consulting bills against human hours. Forward-deployed engineers work on top of those agents, embedded with the customer's team, owning architecture, judgment, and cutover. We commit to a fixed delivery date on a fixed fee. If we slip for reasons inside our control, the cost sits with us. Most modernization doesn't ship. Ours does. That is the entire pitch. You will be the named Mactores contact for AWS sales teams across the US territories. Your job is to make AWS account managers, ISMs, partner-development managers, and specialist sellers see Mactores as the agent-native firm in their partner mix, the one they route to when their customer needs a modernisation program finished, not staffed. You will not be running deep technical demos. A forward-deployed engineer does that. You set up the meeting, frame the customer's problem, walk through the Mactores agent-native approach in business terms, anchor the conversation in shipped case studies, and hand off to the FDE when the conversation gets to architecture. Then you close the loop: register the opportunity, keep the AWS rep informed, push the deal forward. This is not a script-and-cadence BDR seat. AWS reps see hundreds of partner BDRs. The ones who get traction are the ones who can hold a real conversation about the customer's modernisation problem, not the ones running through a sequence.

Requirements

• 3–5 years in a BDR, SDR, or partner-development role, with a demonstrated ability to source qualified pipeline from a cold start.
• Comfort talking to AWS field teams.
• Comfort with technical concepts of cloud modernization, data platforms, agentic AI without being the engineer in the room.
• You can read an architecture diagram, you can talk through a case study, you can name where the customer's pain is.
• 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.
• Travel roughly 30% across the US AWS offices, customer sites, AWS Summits, re: Invent, and regional partner events.

Nice To Haves

• 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 all preferred, not required, but they make the ramp shorter.
• You do not need to debug a Lambda.

Responsibilities

• Build coverage across AWS US sales territories, account managers, ISMs, partner-development managers, 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 reps 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. Your job is to make sure the FDE walks into a qualified room.
• Source Amazon-originated opportunities into the Mactores pipeline; register them in ACE; keep the AWS rep in the loop through cycle close.
• Feed market signal back to Mactores leadership what AWS reps are hearing from customers, where the partner conversation is shifting, and what messaging is landing.

Benefits

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed