Total Performance Consulting

Role Description This is a quota-carrying hunter role, reporting directly to the CEO. We don't hand you a lead list; you build your own pipeline. You own staffing revenue creation from prospecting through close, with an offshore team to multiply your reach: - Self-sourced new-logo selling: You prospect, you book your own meetings, you close. This role exists because we need someone who can build pipeline from nothing against companies hiring AI/ML and Data Engineers. - Using the offshore team as leverage: A dedicated offshore team supports your hunt with list-building, research, LinkedIn outreach, cold email, and job-board/req monitoring. They multiply your reach; they don't replace your hunting. You direct them. - Scoping implementers into Production deals: When a Production-tier AI or Consulting deal arises, you scope nearshore implementation hours into it, the engineers who integrate the agents and build the data pipelines. - Owning the deal end-to-end: Discovery, scoping, role definition with our recruiters, pricing, negotiation, close. You quarterback; the recruiters deliver the talent. - SOW discipline: Clean scoping, clear acceptance criteria, and change-order discipline on every engagement. - Defending against the 'AI replaces developers' objection: We have a clear answer and you'll be trained on it. You deliver it credibly, every time, and lead with the roles AI doesn't replace. - Walking away from the wrong deals: If a prospect wants mid-level full-stack devs or manual QA, you have full discretion to propose role conversion (AI/ML or Data Engineer seats) or walk away. Qualifications - A genuine hunter who has built pipeline from nothing. - Experience in selling staffing or staff augmentation. - Comfortable selling technical roles to CTOs or VPs of Engineering. - Outcome-oriented, focusing on the work the client is trying to get done. - Comfortable in a small-team environment. - Honest about fit, preferring to walk from bad-fit deals. Requirements - Builds a credible pipeline through own prospecting within the first quarter. - Consistent weekly cadence of outbound touches and first meetings booked from own effort. - Directs the offshore team well for lists, research, and sequencing. - Scopes nearshore implementers into Production-tier AI/Consulting deals when they arise. - Signed engagements have clean scope and acceptance criteria. Benefits - Base + commission. Quota and OTE discussed in interview, calibrated to experience. - Fully remote, US-based. Some client travel as deals warrant. - Recruiting team paired with you from day one. - A dedicated offshore team to multiply your reach. - Direct partnership with the VP of AI on Production-tier deals. - A clear, differentiated story to sell, reporting straight to the CEO.

Role Description You find the right companies, reach the right people, and book qualified meetings for our Account Executive. You own the top of the funnel: calling, messaging, email, and list-building. You do not run the sales meetings; the AE does that. Your job is to get them in the room. What you will do - Outbound calling: Call decision-makers at target companies from approved talking points, qualify their interest, and book meetings for the Account Executive. - LinkedIn outreach: Send connection requests and follow-up messages from approved templates, and keep conversations moving until they are ready for the AE. - Cold email: Run email sequences from approved templates and track replies. - List building and research: Find target companies that match our profile, identify the right contacts, and verify their details. - Job-board monitoring: Watch job boards for companies hiring the roles we sell, since an open req is a strong buying signal, and trigger outreach to them. - Apollo hygiene: Log every call, message, and reply in Apollo, and keep records clean and current. When a meeting is booked, push the qualified lead into HubSpot so it reaches the AE and the CRM of record. - Hand-offs: Pass interested prospects and any detailed questions straight to the Account Executive. You qualify and book; the AE handles the rest. What you will not do - Run discovery or sales calls. You qualify and book; the AE runs the meeting. - Quote prices, scope work, or commit Perform to anything. - Answer detailed prospect questions. Those go to the AE. - Change the templates, talking points, or target criteria without sign-off. How you will be measured - Meetings booked for the AE: The number that matters most. Qualified meetings that turn into real pipeline. X / week - Positive replies: Real interest worth the AE's time. X / week - Outreach volume: Consistent calls, messages, and emails across the week. X touches / week - Reply rate: Shows whether the targeting and messaging are working. X% - List and data quality: Accurate contacts, clean records in Apollo, everything logged. Clean weekly Qualifications - Outbound experience: You have done SDR, BDR, or telesales work before, ideally into US or Western markets. You are comfortable on the phone and in writing. - Strong spoken and written English: Clear, confident, and natural. You will be calling and messaging US decision-makers, so this matters a lot. - US-hours overlap: You can work hours that overlap the US business day, since that is when the people you are calling are available. - Organized and consistent: This role rewards steady daily volume and clean records. You keep a rhythm and you keep good notes. - You follow the playbook and templates, take feedback, and improve as we learn what converts. - Top-of-funnel work means a lot of no before each yes. That does not rattle you. Tools you will use - Apollo for outreach, sequencing, calling, email, and tracking. This is your main workspace. - HubSpot as the CRM of record, where booked meetings and qualified leads get pushed. - LinkedIn (Sales Navigator) for research and outreach. - Job boards for hiring-signal monitoring. - Training on our specific tools, templates, and target profile is provided. You bring the outbound skill; we provide the playbook. How this role fits You work closely with our Account Executive, who directs the target list and owns the meetings you book. Our content lead keeps your templates and talking points current. You work day to day in Apollo, and when you book a meeting you push the qualified lead into HubSpot, which is our CRM of record. You are the top of a funnel that the AE then carries to close. When you do this well, the AE spends their time selling instead of prospecting, and the whole engine moves faster.

Role Description As the Sr AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement. This is a senior role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team. You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction. Responsibilities: - Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents. - Lead the development and fine-tuning of large language models tailored to our domain. - Architect training workflows that use user feedback and corrections to continually improve model performance. - Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats. - Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures. - Design robust evaluation pipelines and performance metrics for all models. - Help architect scalable systems to support training, inference, and feedback pipelines. - You’ll be building core systems from scratch. Qualifications - 6+ years with Python development experience - 4+ years experience as an AI/ML Developer - JavaScript / Node.js / React - Experience with Mongo DB and AWS - Upper Intermediate English level Position Details - Remote: Fully-remote - Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City, Belize City Company Description Your partner for AI, consulting, software development, and nearshore staffing.

Role Description Lead the future of AI/ML in a hands-on, ambiguity-friendly role — shape models, build NLP pipelines, and influence product direction with founders. Collaborative, impactful work. We are seeking a Senior AI/ML Engineer to lead the development of core machine learning systems and AI-driven automation. This role focuses on building and improving LLM-based systems, NLP pipelines, and intelligent workflows that transform complex, unstructured data into usable insights. You will work directly with senior leadership to shape technical direction, define what should be built, and turn ambiguous product goals into real engineering solutions. This is a hands-on role for someone comfortable building in new and evolving problem spaces. What You’ll Do - Lead the design and development of machine learning systems and LLM-based applications - Fine-tune and adapt large language models for domain-specific use cases - Build NLP pipelines to extract structured data from complex, unstructured documents - Translate ambiguous product goals into clear technical and ML execution plans - Work directly with product signals, user feedback, and backlog input to prioritize development work - Build evaluation systems to measure model performance and detect regressions - Design automated benchmarking pipelines for continuous model testing - Define meaningful performance metrics tied to real-world outcomes - Build feedback loops that use user corrections to continuously improve model performance - Apply computer vision techniques to extract data from PDFs and scanned documents - Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium - Work across system design, infrastructure, training, and inference pipelines - Build scalable ML systems and supporting infrastructure from the ground up How You’ll Succeed - Turn unclear problem spaces into structured, executable technical plans - Build systems that improve continuously through feedback and evaluation - Deliver reliable, production-ready AI/ML solutions in fast-changing environments - Balance experimentation with practical system design and scalability - Communicate clearly with technical and non-technical stakeholders - Make strong prioritization decisions when everything is not fully defined Qualifications - 6+ years of Python development experience - 4+ years of experience in AI/ML engineering roles - Strong experience building and deploying LLM-based systems (e.g., Claude, OpenAI models) - Comfortable using modern LLM workflows such as prompting, evaluation, and iteration - Experience building NLP systems for information extraction or document understanding - Strong understanding of model evaluation, benchmarking, and performance measurement - Experience working with JavaScript/Node.js and React in production environments - Familiarity with MongoDB and AWS - Experience building systems that integrate feedback loops or continuous learning - Comfortable working in ambiguous environments without fully defined specifications - Strong communication skills (upper intermediate or higher English) Position Details - Remote: fully - Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City, Belize City

Role Description Join our collaborative team as a Full Stack .NET Developer; build secure, scalable web apps with C#, ASP.NET Core, and modern front-end tech; grow with agile, helpful peers. We are seeking a Full Stack .NET Application Developer to design, build, and maintain scalable web applications. You will work across both front-end and back-end layers, using the Microsoft .NET ecosystem and modern web technologies. This role is ideal for someone who enjoys collaborating with product managers, designers, and engineering peers in a fast-paced environment. You’ll contribute to delivering reliable, maintainable, and secure software from concept to deployment. What You’ll Do - Design, develop, test, and deploy high-performance web applications using C# and ASP.NET Core - Build front-end features with modern JavaScript frameworks such as React, Angular, or Vue.js - Implement and consume RESTful APIs to support web and mobile applications - Develop and maintain SQL Server database models, queries, and stored procedures - Ensure code quality, maintainability, and application security by following best practices - Participate in code reviews, architectural discussions, and knowledge sharing - Troubleshoot and resolve issues across front-end and back-end layers - Write clear documentation and contribute to internal knowledge bases - Stay up to date on new technologies and trends in .NET and web development How You’ll Succeed - Deliver high-quality, maintainable, and secure applications - Communicate technical concepts clearly to peers and stakeholders - Collaborate effectively with cross-functional teams to meet business goals - Proactively identify and solve technical challenges - Apply best practices in testing, deployment, and security Qualifications - 3+ years of hands-on experience building full stack applications with C# and ASP.NET Core - Proficient in front-end technologies (JavaScript, HTML5, CSS3) and modern frameworks (React, Angular, or Vue.js) - Strong experience with SQL Server, including designing relational data models and writing efficient queries - Skilled in creating and consuming RESTful APIs - Familiarity with version control systems such as Git - Basic knowledge of cloud services on Azure or similar platforms - Experience with Entity Framework Core or other ORMs - Comfortable working in Agile/Scrum teams - Upper-intermediate English proficiency (written and verbal) Position Details - Remote: Fully-remote - Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Managua, Mexico City, San Salvador, Panama City, Belize City

Role Description We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications. You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions. This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases. What You’ll Do - Collaborate with engineers to design and execute data migrations between systems - Perform data mapping, transformation, validation, and reconciliation - Ensure data accuracy and completeness across environments - Build and maintain production data pipelines and APIs - Develop scripts and services for data movement and validation - Model data and analyze source and target schemas - Write complex SQL queries and work with relational and NoSQL databases - Identify and resolve data quality issues during migration - Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support - Contribute to discussions around data quality, test strategy, and automation - Integrate and manage data flows across multiple systems and applications - Design and implement data models that reflect business logic and support application use cases - Design and execute complex data migrations between systems, ensuring data integrity and consistency How You’ll Succeed - Deliver stable, well-tested data pipelines and migration solutions - Write clean, maintainable production code - Maintain strong attention to detail when handling data transformations - Communicate clearly with technical teammates and stakeholders - Thrive in a collaborative, service-oriented environment Qualifications - 3+ years of experience in a Data Engineering role - Experience working with transactional or financial data is a plus - At least 5 years of experience delivering production software solutions - Proficient in Python with experience shipping production pipelines - Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred) - Experience building scripts or services for data movement and validation - Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms - Experience using Git or other distributed version control systems - Familiar with automated deployments and continuous delivery practices - Solid understanding of REST APIs, JSON, testing, security, and performance best practices - Bachelor’s degree in Computer Science or related field, or equivalent experience - Strong verbal and written communication skills Position Details - Remote: Fully-remote - Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton

Role Description We’re looking for a Growth Marketer to build and run our outbound engine. This is a hands-on, in-the-tools role — not a strategy-deck role. You’ll own list-building, data enrichment, sequencing, copy, and reporting, and you’ll work directly with the CEO and our content lead to keep the funnel moving. If you have built outbound from zero before — ideally at a small consulting or B2B services firm — and you actually enjoy the craft of cold outbound (the data work, the testing, the obsession with reply rates), we want to talk. What You’ll Own - ICP and list-building: - Define and continuously refine our ideal customer profiles within mid-market banking and healthcare. - Build target account lists and contact lists that match. - Data enrichment and tooling: - Run our outbound stack — Clay, Apollo, LinkedIn Sales Navigator, and similar — to enrich accounts and contacts with the signals that actually predict reply rates. - Cold outbound campaigns: - Write, launch, and iterate on cold email and LinkedIn sequences. - Own subject lines, copy, cadence, and personalization at scale. - Testing and optimization: - A/B test relentlessly. - Know your open rates, reply rates, and meeting-booked rates by segment, sequence, and message — and adjust weekly. - Work with our team to set up a Slack bot (or similar) that reports key outbound metrics — volume, opens, replies, subject-line performance — on a regular cadence to the team. - Handoff to sales: - Make sure replies and booked meetings flow cleanly to the CEO and account team, with the right context. - Channel partnerships (stretch): - Help identify and warm up channel partners (vendors, integrators, advisors) who can introduce us into target accounts. Qualifications - 3+ years running outbound campaigns at a B2B SaaS, agency, consulting firm, or RevOps/growth team. - Strong working command of the modern outbound stack: Clay (or equivalent enrichment), Apollo / ZoomInfo, LinkedIn Sales Nav, Smartlead / Instantly / Outreach / similar, and basic spreadsheet or SQL fluency. - A real point of view on cold email copy. - Comfort with deliverability fundamentals: domain warm-up, sending infrastructure, list hygiene. - Data-driven by default. - Self-managed and disciplined. - Light AI/automation chops. - Past experience at ColdIQ, Belkins, Martal, Lemlist, or a similar outbound-focused shop. Nice to Have - Direct experience selling into banking, financial services, or healthcare. - Experience with channel/partner-led growth motions. What Success Looks Like in Year One - A repeatable outbound motion is up and running, with stable deliverability and a documented playbook. - Open, reply, and meeting-booked rates are tracked weekly and trending in the right direction. - A meaningful share of Perform’s new-logo pipeline is sourced from outbound — not just referrals. - Reporting (Slack bot or equivalent) gives the team real-time visibility into what’s working and what isn’t. - You’ve built strong working relationships with the CEO, Content Marketing Lead, and AM team, and the handoff from reply to meeting to opportunity is clean. How We Work Perform is remote-first with our office in Milton, GA. This role is open to U.S.-based candidates. We’ll set weekly priorities together; the rest is up to you to execute. You’ll work closely with the CEO, our Content Marketing Lead, and our existing AI/marketing ops support. We are a growing company; expect the work to be fast-paced, high-trust, and lean on process. There is a clear path to a larger role (full-time, growth lead) if the function is working and you want it. How We’ll Know You’re the One - Customer Focus: Acts with customers in mind. - Data Driven: Reaches for the numbers before opining. - Treats outbound as a craft. - Communicates compellingly. - Self-Directed: Takes initiative. - Cool under pressure. - Direct, honest, trustworthy. - Work Ethic: Brings real energy. - Wants to grow — personally, professionally, and as part of a company that is going somewhere. Why Perform - A growing firm with established enterprise clients and a clear position in AI-era services. - Four real service lines behind the marketing — AI, Build, Consult, Hire/Nearshore. - Direct line to the CEO and delivery leaders. - Remote-first with the autonomy that comes with it. - The opportunity to build and own a function as Perform grows. Interested? If you’ve read this far and think it sounds like you, we want to hear from you. Apply through our careers page or reach out directly. Perform is an equal opportunity employer.

Role Description Own the data platform end-to-end on Azure Databricks, partner with business teams, and ship AI-ready solutions that impact physician growth and member services. The data engineer role is changing. The traditional pattern — build a pipeline, hand it off, wait for someone else to figure out if the data is right—doesn’t work anymore. The engineers who create the most value now are the ones who go deep into the business domain, understand the problem firsthand, and use AI tools to move from question to working solution in hours instead of sprints. MDVIP’s Analytics team is looking for a Senior Data Engineer who operates as a hybrid technical product owner: - Builds and maintains the data platform on Azure Databricks. - Sits with business stakeholders, interrogates the problem, and owns the outcome end-to-end. - Finds, validates requirements, and ships the solution using Claude Code and agentic development patterns. This is what it means to shift the engineer left into the business domain. You’re not a pipeline builder waiting for a ticket. You’re the person who understands how physician network growth, member engagement, and operational performance actually work—and who builds the data infrastructure that makes the entire Analytics team faster, sharper, and more impactful. Qualifications - BS in Computer Science, Data Science, or related field; 6+ years in data engineering or a hybrid data engineering/analytics role. - Deep hands-on experience with Azure Databricks—notebooks, Delta Lake, Unity Catalog, and production-scale pipelines. - Strong Python and SQL; experience with PySpark and distributed data processing. - Built and operated data pipelines that serve analytics, ML models, and operational systems—not just batch ETL jobs. - Worked directly with business stakeholders to define requirements, shape data products, and deliver measurable outcomes. - Active, daily use of AI coding tools (Claude Code, Copilot, or similar) as a force multiplier. - Strong communication skills with a track record of presenting technical work to non-technical audiences. Requirements - Own the Data Platform: - Design, build, and operate MDVIP’s data platform on Azure Databricks—ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting. - Build and maintain data pipelines across MDVIP’s ecosystem: Salesforce, SQL Server, Snowflake, third-party sources, and the new cloud-native payments platform. - Engineer for quality and trust—validation checks, anomaly detection, lineage tracking, and documentation that ensure every downstream consumer can rely on the data. - Write clean, version-controlled, production-grade code. - Go Deep Into the Business Domain: - Partner directly with business stakeholders across physician growth, member services, finance, and operations to understand how data drives decisions. - Act as a technical product owner for your domain areas: own the backlog, prioritize based on business impact, and ship iteratively. - Translate ambiguous business questions into data models, feature tables, and curated datasets. - Close the loop — follow your data through to the dashboard, the model, or the operational workflow and validate that it’s actually driving the outcome. - Drive AI-First Engineering Practices: - Use Claude Code and agentic development as your primary workflow. - Build data infrastructure that is AI-ready: well-documented, semantically clear, and structured for AI tools and agents. - Scout, evaluate, and adopt emerging AI tools and platforms. - Share what you learn. Document patterns, run demos, and help the broader team adopt AI-first workflows with confidence. Benefits - Remote: fully - Location: Milton

Role Description We are seeking a highly organized and proactive Property Manager to join our remote team. This role is dual-purpose: you will manage our existing portfolio of US rental properties while also actively supporting the acquisition of new properties — searching listings, coordinating with real estate agents, and keeping the purchase pipeline moving. The ideal candidate is based in the Philippines, has hands-on experience supporting US real estate operations, communicates clearly and professionally in English, and thrives in a detail-oriented environment. Key Responsibilities - Rental Property Management - Serve as the primary point of contact for tenants across multiple US properties - Coordinate maintenance requests, repairs, and vendor work orders in a timely manner - Manage lease agreements, renewals, and move-in/move-out processes - Track rent payments, follow up on late payments, and maintain accurate ledgers - Ensure properties remain compliant with local landlord-tenant laws and regulations - Maintain organized records for all properties (leases, insurance, warranties, expenses) - Prepare monthly property performance summaries for ownership review - Property Acquisition Support - Search and monitor US real estate listing platforms (MLS, Zillow, Redfin, Realtor.com, etc.) for investment opportunities matching defined criteria - Build and maintain a pipeline of prospective properties with key data points (price, cap rate, neighborhood, condition, listing age) - Communicate professionally with listing agents, buyer's agents, and brokers to request information, schedule showings, and follow up on offers - Coordinate due diligence activities including inspection scheduling, document collection, and title/escrow communication - Prepare and organize property analysis spreadsheets and comparison summaries - Track deal status from initial search through closing and ensure no steps fall through the cracks - Assist with onboarding newly acquired properties into the management system - Communication & Coordination - Draft and send professional emails and correspondence on behalf of ownership - Manage calendars and schedule calls/meetings with realtors, contractors, and vendors - Maintain an organized shared drive with property documents, contracts, and communications - Proactively flag issues, delays, or risks and recommend solutions Qualifications - 3–6 years of experience in US real estate property management or a closely related support role - Demonstrated experience supporting US rental operations remotely from the Philippines or a similar setting - Familiarity with US property acquisition processes including MLS searches, working with realtors, and transaction coordination - Excellent written and verbal communication skills in English — clear, professional, and prompt - Exceptional attention to detail with a track record of catching errors before they become problems - Highly organized with the ability to manage multiple properties and tasks simultaneously - Comfortable using Google Workspace (Gmail, Sheets, Docs, Drive) - Reliable high-speed internet connection and a dedicated, distraction-free work environment - Availability to work EST hours Preferred / Nice to Have - Experience with real estate investment analysis - Familiarity with US listing platforms: MLS access, Zillow Premier, Redfin, LoopNet, etc. - Background in transaction coordination or working alongside a US real estate team - Experience using CRM or deal-tracking tools (e.g., Podio, Monday.com, Airtable) - Prior experience with short-term rental (Airbnb/VRBO) management a plus What We're Looking For - Communicates proactively — you don't wait to be asked for updates; you send them - Follows through on every task — nothing slips through the cracks - Asks the right questions — you clarify before acting, not after - Writes clearly and professionally — tenants and realtors receive well-crafted, error-free correspondence - Is genuinely detail-oriented — you catch typos in lease amounts, discrepancies in invoices, and mismatched dates - Is resourceful — when you encounter a problem, you come with proposed solutions - Takes ownership — you treat the portfolio like it's your own Candidates who do not demonstrate direct US real estate experience will not be considered for this role. We look forward to finding a dedicated professional.