Get the work moving.
Start with the release, migration or AI feature that’s stuck. Build the team around that work, not a pile of resumes.
Explore AWS engineeringYou need engineers. You’ve got an AWS commitment. Let’s put them in the same plan.
Plan governed LATAM engineering delivery, then buy the agreed service through AWS Marketplace. Any treatment toward an AWS commitment depends on the buyer's AWS agreement and the confirmed offer.
For US CTOs and CIOs. Commitment treatment depends on your offer and AWS agreement. How it works
Team pricing from our capacity planner. Calculate your team cost
“TeamStation AI was very hands-on, personable, and collaborative.”
HOW IT WORKS
A clear path from team design to governed delivery, with AWS purchasing aligned to your agreement.
Define the roles, seniority and LATAM market for your team.
Review the proposed team, monthly scope and AWS purchasing terms.
Onboard your team and operate with continuous governance.
AWS COMMITMENTS
Your team price and terms go into a private offer on AWS Marketplace.
Include optional professional services for team setup, architecture and ongoing support, also through AWS.
Price the work. Verify the AWS terms.
We'll help you review the engineering scope and AWS buying route. The final service price is agreed in your AWS Marketplace private offer.
PPA AND EDP REVIEW
This page does not calculate PPA or EDP drawdown, shortfall payments or savings. Those depend on your agreement, the exact Marketplace offer and AWS confirmation.
Review my AWS agreementNo agreement upload or private financial information is requested on this public page. Read AWS guidance on professional services offers.
ENGINEERING TEAMS
THE WORK COMES FIRST
Got a country in mind? Find the skills and responsibilities your AWS workload needs. Let’s build around the work.
Pick the missing responsibility, not just a job title. These role guides cover the skills and judgment to inspect across your AI SDLC.
Explore cloud infrastructure, product development and data or AI tooling relevant to your AWS workload. These are skills guides, not claims that every tool is included in the offer.
Need to pin down AWS services such as IAM, VPC, Lambda, EKS or RDS? Start with the AWS engineering guide and scope the work with your architecture owner.
Every path comes back to the same decision: the right team, clear ownership and a cost you can defend. Country or role selection does not determine PPA eligibility.
Plan my engineering teamAgree what matters, what is out of scope and what good looks like.
Agent assistance Organize approved requirements.
Handoff evidence Outcome and acceptance criteria.
Explore engineering leadsMake the tradeoffs explicit before the team starts building.
Agent assistance Compare options using approved context.
Handoff evidence Reviewed design and failure modes.
Explore cloud engineering rolesTurn the design into reviewable changes, not another pile of unowned code.
Agent assistance Assist with scoped coding and tests.
Handoff evidence Changes linked to requirements.
Explore full stack rolesChallenge the output. Test the edge cases. Show what still needs work.
Agent assistance Run approved checks and organize failures.
Handoff evidence Test results and unresolved risks.
Explore QA automation rolesCheck access, approve the change and know how to roll it back.
Agent assistance Prepare release evidence.
Handoff evidence Approval and rollback plan.
Explore DevSecOps rolesUse operating evidence to choose the next change. No autopilot decisions.
Agent assistance Summarize approved operating signals.
Handoff evidence Runbooks and the next approved action.
Explore SRE rolesTHE MANAGED AI DELIVERY CHAIN
Skip resume roulette. Put the right judgment at each AI delivery handoff, with clear owners, context and checks.
Explore team topologiesInspect how they think. Check the role fit. You make the call.
Talent intelligence for the work.
Neuro-psychometric interview analysis. Evidence for human review.
One plan for the operating work around your engineers. Agree the inclusions before launch.
You keep product priorities and production authority. DEOS connects the agreed employment, devices, MDM, onboarding and delivery support. See who owns what.
We’re pioneering engineering capacity as an operating system. Explore the working research.
Read the AWS migration case studyPRICING
A single monthly price for the agreed managed engineering seat, with inclusions confirmed in your offer.
Monthly seat estimate = stored role-level hourly rate x 173 hours. Add the seats for each role to see your monthly team estimate and planning range. This is service pricing, not a PPA or EDP drawdown calculation. View the role and level prices.
Confirm inclusions and responsibilities in your offer. Customer cloud consumption is separate; commitment treatment is not automatic.
01 / YOUR AWS WORKLOAD
EXAMPLE ENGINEERING BRIEF
One agreed brief. Clear owners and acceptance criteria.
02 / AWS MARKETPLACE
EXAMPLE SERVICE OFFER
Confirm the offer and AWS agreement before purchase.
03 / ENGINEERING DELIVERY
EXAMPLE DELIVERY REVIEW
Commitment credit is not cash savings or automatic approval.
Illustrative workflow, not a purchase or eligibility confirmation. Check eligibility
THE BUDGET CONVERSATION
You’re buying engineering anyway. Check the team cost and the AWS buying route together, then verify any commitment treatment against your agreement.
Start with the release, migration or AI feature that’s stuck. Build the team around that work, not a pile of resumes.
Explore AWS engineeringAsk your AWS account team whether the exact professional-services offer qualifies under your agreement before including it in a commitment forecast.
Review AWS professional servicesRenewal coming up? Bring your team budget, expected AWS usage and buying plan to the table before you sign.
Plan the next conversationLATAM TALENT. ONE MANAGED OPERATION.
Start with Mexico, Colombia, Brazil or Argentina. Explore Ecuador, Peru, Costa Rica, Guatemala and beyond. Pick the market, then dial in the team.
Go straight to the matching guide. This opens an existing page, not a hiring request.
Explore cloud engineers in MexicoCompare the LATAM country overview and country salary context. Confirm the role, working hours and operating scope before choosing the team.
BEFORE THE NEXT AWS NEGOTIATION
Plan AWS engineering teams, compare monthly role pricing and review the Professional Services offer against your PPA or EDP commitment terms. Get engineering, finance and your AWS account team around the same plan.
OUR AWS MARKETPLACE LISTING
Open the listing, then choose “Request private offer.” Send the same link to procurement so everyone’s looking at the right service.
Find us on AWS Marketplace https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikgA stronger spending plan can inform the negotiation. Any additional AWS discount has to be agreed, not assumed. Review AWS Private Pricing.
AWS PPA commitments, Marketplace purchasing and managed engineering, explained without the sales fog.
TeamStation AI sells Professional Services through AWS Marketplace. We help you line up the engineering plan with your PPA or EDP commitment. Start with the work and the team you need. Then confirm with AWS how much of the spend will count under your agreement. Counting toward a commitment is not the same as saving on delivery.
The Marketplace link on this page opens our Professional Services listing. Send that same link to procurement. We agree scope, price and terms in a private offer before you accept.
It may. Our Professional Services are sold through AWS Marketplace. Your AWS account team confirms how much counts, any limits and the billing period. Check this before you accept the offer. It is not a cash refund or an automatic new discount.
No. Negotiate TeamStation’s service price in the private offer. Review AWS discounts in your AWS agreement. Put the engineering forecast into renewal planning, but count any new AWS discount only after it is agreed. A service discount, commitment drawdown and an AWS rate discount are three different things. Don’t count the same benefit twice.
Start before renewal when practical. Bring the engineering work you actually expect to buy into the AWS spending forecast before agreeing to the next commitment. For an existing agreement, check what is left on the commitment, offer eligibility, remaining allowance and deadline. More committed spend is not the goal. A better total deal and useful product delivery are.
Use the TeamStation capacity planner to choose roles, levels and seat counts. It totals the monthly engineering plan. The private offer sets the final service price; the planner does not calculate PPA or EDP treatment.
Do not assume a second financial benefit. First price the engineering work, then ask AWS and procurement whether the exact offer contributes to your commitment under your agreement. A possible drawdown is not a cash saving, refund or agreed discount.
Choose roles, levels and seat counts to see the monthly engineering plan. The final buying period and price belong in the private offer. PPA or EDP treatment depends on your agreement and AWS confirmation, so this page does not project a commitment gap or saving.
Timing and any remaining Marketplace allowance may affect treatment under your agreement. Review actual offer billing dates, eligible purchases and recognition rules with AWS and procurement. This page does not infer a contribution from team size or months alone.
Skip the rate-card tunnel vision. Compare the same work, seniority and delivery coverage, including recruiting effort, employment, devices, onboarding and oversight. DEOS connects those operating responsibilities. Count only the costs the agreed scope actually replaces, then include retained work and transition. A lower headline rate alone does not prove a saving.
Name the human owners of scope, architecture, implementation, evaluation, security, release and operations. Give agents bounded tasks, approved context and checks. TeamStation shapes the engineering plan around those responsibilities rather than one generic squad. You retain product priorities and production-access approval. The engagement sets the actual team, operating scope and delivery evidence.
Axiom Cortex uses technical interview evidence to support human review of engineering reasoning and role fit. Look at how someone breaks down a problem, explains a tradeoff and spots a risk. Nebula adds talent intelligence and market context. You review the evidence and choose the engineer. No resume roulette and no automatic hiring decision.
The agreed service plan connects talent selection, employment and payroll support, devices and MDM, onboarding, continuity and delivery oversight. Confirm the inclusions, insurance arrangements, working hours and responsibilities in the offer. You get a managed operation around the people, while your team keeps its product and production authority.
Customer AWS infrastructure charges are separate from engineering services in the published listing. Confirm model usage, software licenses and any other project-specific costs in the private offer. Budget the team and the application’s cloud consumption separately. A team estimate is not an AWS bill forecast.
Start with the missing responsibility: cloud, platform, DevOps, SRE, DevSecOps, QA, data or product engineering. For AI workloads, inspect AI platform, agentic systems, LLM, context, MLOps and governance roles. The linked guides help define the team; the workload decides which roles you need. Don’t add seats just to hit a spending target.
Our working research treats people, bounded agents, knowledge, execution controls, telemetry and governed learning as one capacity system. It asks where work is stuck and what should change before adding more headcount. That informs the team conversation. Specific production capabilities and delivery commitments still need their own evidence in the engagement.
Bring one AWS workload, the delivery blocker, your rough team budget and the PPA renewal or recognition deadline. We’ll map the responsibilities, compare the full cost and check the Marketplace buying path with the right owners. No need to upload your PPA or credentials to a public form. No fit? We’ll say so.
Bring the workload and the AWS timeline. We’ll help you check the fit. No fit? We’ll say so.