Agent Deployment Strategist Job at Amigo (New York City)

Forward Deployed Analyst

As a Forward Deployed Analyst, you will operate at the intersection of legal ope...

Location

United Kingdom , London

Salary:

Not provided

Flank

Expiration Date

Until further notice

Requirements

1-2 years of professional experience in a high-velocity environment (Ops, Business Analyst, or Systems Integration), OR a track record of substantial, high-ownership internships (9-12+ months)
Proactive and Creative: comfortable building things, know how to use LLMs to write scripts, or wizard with No-Code tools, naturally reach for AI to solve problems
Data Driven & Detail Oriented: happy doing grunt work if it leads to the right answer, comfortable cleaning data sets in Excel/Sheets and building precise, error-free presentations
Execution First: bias for action, detail-oriented, take pride in delivering polished work that doesn't need to be double-checked
Location: based in London or within a ~1.5 hour commute, willing to come into the office 1x per week for high-bandwidth collaboration

Job Responsibility

Operational Support & Analysis: own data reporting for customers, pulling raw usage logs, cleaning data, analysing performance to prove ROI
Asset Creation: build high-quality slide decks and reporting assets for weekly meetings or Quarterly Business Reviews and partner updates
Project Management: maintain internal trackers and deployment documentation, ensuring every customer status is accurate and up to date
Implementation & Configuration: configure agents in the platform, ingesting playbooks and templates, refining guidance to ensure high-quality outputs
Troubleshooting: act as first line of defense for configuration issues, investigating why an agent "failed" a task and figure out the fix before escalating to Engineering
Partner Operations: set up infrastructure and documentation for ALSPs/MSPs to deploy Flank agents, triage technical queries, ensure partners have everything needed to minimise friction in their delivery
Automation & Systematisation: use LLMs, scripts, or no-code tools to turn manual processes into reusable templates and automated workflows
Build Tools: build simple internal tools that help the FD team move faster, moving from "one-off spreadsheets" to scalable systems
Shadowing & Growth: pathway to Forward Deployed Strategist profile, eventually own Technical Discovery & Process Mining, Change Management & Adoption, Scalability

What we offer

Innovative Work: part of team making bold bets to create new paradigm in AI-enhanced legal services
High Standards Culture: join team that demands excellence and accountability through direct and candid communication
Empowered Environment: operate in high-agency culture where you can lead yourself and make real impact
Global Team: remote-first, collaborate with diverse, talented team across the globe
Competitive, Benchmarked Salary

Fulltime

Sr. Staff Deployment Strategist

Join Alation to drive business transformation and technical excellence at the in...

Location

United States , Redwood City

Salary:

153412.00 - 207106.00 USD / Year

Alation

Expiration Date

Until further notice

Requirements

8+ years in management consulting (strategy, operations, tech) or forward-deployed solution roles at data platform companies
Hands-on with data (SQL essential)
Familiar with Python, APIs, and modern data architectures
Executive presence with superior communication skills
Demonstrated track record of building and deploying low/no-code solutions
Relentless problem solver
Deep understanding of agentic patterns, LLMs, data governance, and metadata management (preferred)
Technical undergraduate or graduate program
Ability to travel for customer and prospect onsite visits (approx. 25 – 40%)

Job Responsibility

Lead executive discovery sessions to surface business challenges
Rapidly prototype and validate AI agent solutions using Alation’s platform
Quantify business value through clear KPIs and ROI modeling
Work with technical team to architect tailored deployment paths
Own end-to-end deployment of configuration-first deployments
Ensure solutions are embedded into client daily operations
Translate strategic objectives into actionable technical requirements
Serve as bridge between client stakeholders and Alation’s product teams
Conduct Executive Business Reviews (EBRs) to present value delivered
Evolve from delivery lead to trusted advisor

What we offer

Competitive pay and health offerings including commuter benefits
Flexible time off

Fulltime

New

Deployment Strategist

Scale is building AI for the world’s most important decisions. From the front li...

Location

United States , Washington

Salary:

203200.00 - 254000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Experience: 10+ years of experience in complex enterprise IT sales or business development specifically within the DoW/IC
Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget
Domain Expertise: Deep understanding of the DoW’s modernization priorities, specifically in AI/ML, computer vision, or autonomous systems
The Valley of Death Navigator: You have a demonstrated ability to transition technology from 'cool demo' to 'deployed capability' within a major PEO
Strategic Network: Existing high-level relationships across the DoW, with a specific focus on Defense Agencies and enterprise IT, as well as a Rolodex of contacts at the major primes
Clearance: Active Top Secret/SCI clearance is strongly preferred
Education: BS/BA required
technical degree or MBA preferred
Geography: Based in the National Capital Region, with the ability to work out of Scale’s D.C. office 2-3 days a week
Travel: Ability to travel 20-30% of the time

Job Responsibility

Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition
Tactical Execution: You don't just delegate
you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defense contracting
Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn't just work, but scales
Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard
Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against
SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defense Primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend

Fulltime

Deployment Strategist Lead

Valon is building the AI-native operating system for regulated finance, starting...

Location

United States , New York, San Francisco

Salary:

180000.00 - 210000.00 USD / Year

Valon Tech

Expiration Date

Until further notice

Requirements

5+ years leading complex enterprise implementations or transformations in regulated or legacy environments such as finance, healthcare, telecom, or government
Track record owning end‑to‑end programs with material business impact and executive visibility
Cross‑functional influence: trusted by technical and business leaders
can translate ambiguous pain points into precise product and delivery requirements
High agency and grit in ambiguity
Executive communication: you can brief CFOs and boards as fluently as you coach analysts and engineers
Pattern recognition across multiple areas of a deployment with the ability to crystallize reusable playbooks

Job Responsibility

Lead major enterprise deployments: Drive complex, high‑stakes rollouts on time and in budget, with clear success metrics tied to operational and financial outcomes
Orchestrate cross‑functional strike teams: Coordinate Deployment Strategy (DS), Forward‑Deployed Engineers, Engineering, Product, and Analytics from discovery through migration, UAT, cutover, and post‑go‑live stabilization
Codify the playbook: Build reusable accelerators such as migration frameworks, QA protocols, change‑management templates, and stakeholder comms that improve speed and quality across deployments
Be the voice of the customer: Synthesize field signals into crisp product requirements, shape the R&D roadmap, and close the loop by validating that shipped capabilities deliver measurable customer value
Manage risk with precision: Surface critical path, anticipate blockers in messy legacy environments, and implement mitigation plans that keep delivery on track
Drive continuous value creation: After go‑live, lead iterative workflow redesign and AI agent introduction to expand impact quarter over quarter
Lead cross‑functional teams: Set direction and standards for the deployment team you’re staffed with (DS, FDEs, engineers, product, analytics) through influence and operating cadence
Own the engagement end‑to‑end: Act as deal/case lead across scope, SOWs, change orders, timelines, risk, budget, and value tracking
Run executive steering and stakeholder comms: Drive cadence with customer senior leadership, align on objectives and success metrics, and ensure rapid decision‑making
Lead staffing and throughput Define needed skills and capacity, request and onboard team members, set ways of working, and unblock execution

What we offer

competitive salary plus a meaningful stake in the company via equity, and 401k plan
comprehensive medical, dental, & vision benefits
pre-tax deductions for public transportation, rideshare services, and parking expenses
Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback
quarterly budgets for team and company outings
flexible paid time off, sick days, and 11 company holidays
12 weeks off for both birthing and non-birthing parents - fully paid

Fulltime

Growth Marketing Manager, AI Creative & Content Systems

The way growth marketing content gets made is fundamentally changing, and this r...

Location

United States , New York

Salary:

89400.00 - 167500.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

2+ years of experience in growth marketing, with a strong foundation in paid creative strategy, content strategy, or performance marketing
A sharp creative and editorial eye: you can evaluate visual design, ad copy, and long-form content with confidence, identifying what works, what doesn't, and why. You know great creative when you see it, and you can articulate what makes it great.
Strong writing and visual sensibility: you're capable of producing high-quality written content and evaluating visual creative, even when using AI to assist. You understand composition, messaging hierarchy, and brand voice.
Demonstrated, hands-on experience building and deploying AI-powered workflows for creative or content production. Not just using AI tools, but architecting agentic, multi-step systems around them
Strong understanding of paid media creative best practices across major platforms, with the ability to translate performance data into actionable creative direction
Experience designing and running structured creative testing programs, with a data-driven approach to measuring and optimizing ad creative and content performance
Experience developing content strategies that drive organic visibility, including an understanding of SEO fundamentals and emerging AI-enhanced search optimization (AEO)
Proven ability to collaborate cross-functionally with creative, design, product, and engineering teams to ship work on a consistent cadence
A builder mindset: you're comfortable prototyping new workflows, evaluating emerging tools, and shipping MVPs before perfecting them

Job Responsibility

Design, build, and maintain agentic AI workflows that generate paid creative assets, web landing pages, and editorial content at scale
Own the end-to-end creative and content production pipeline from brief development through AI-assisted generation, quality review, and deployment, ensuring a reliable, repeatable system that ships on schedule
Serve as the creative and editorial quality filter for all AI-generated output, ensuring every asset is on-brand, strategically sound, and meets Cash App's standards for visual and written excellence
Collaborate with creative strategists and growth marketers to translate campaign briefs and performance insights into AI-generated creative variations and content that resonate with audiences
Design and execute structured creative testing frameworks to continuously improve paid creative performance and inform AI-generated iterations
Analyze paid creative and organic content performance, connecting asset-level data to full-funnel metrics to refine AI-generated outputs and demonstrate efficiency gains
Develop and execute content strategies that increase organic visibility and traffic through SEO and AI-enhanced search optimization (AEO)
Establish quality standards, review processes, and governance frameworks to ensure AI-generated content meets brand, legal, compliance, and performance requirements in a regulated financial services environment

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

New

Data Engineer

The Data Engineer is responsible for building and maintaining the technical back...

Location

India , Pune

Salary:

Not provided

SRKay Consulting Group

Expiration Date

Until further notice

Requirements

Has deep expertise in data scraping, ingestion, preprocessing, normalization, and data management best practices in a production environment
Demonstrates strong command of Python and SQL, with experience building and maintaining data pipelines and analytics services
Applies statistical and data science methods confidently (e.g., regression, classification, clustering, time-series, sampling, hypothesis testing)
Has hands-on experience with ML and NLP in real-world settings (e.g., classification, sentiment analysis, topic modeling, entity extraction, summarization)
Is fluent with AI/LLM and agentic tools (e.g., using APIs, orchestration frameworks, or workflow engines) and is eager to experiment with new approaches
Is comfortable building Tableau-ready data models and collaborating with dashboard developers to ensure performance and usability
Is an innovative and creative thinker who enjoys connecting disparate data sources and systems into cohesive analytics solutions
Has a strong ability to explain technical concepts to a non-technical audience
Thrives in collaborative environments and partners effectively with insights professionals, analysts, and client-facing teams
Takes an ownership mindset, holds a high bar for quality, and is motivated by building systems that others can rely on

Job Responsibility

Design, build, and maintain end-to-end data pipelines for media, reputation, and stakeholder datasets, from ingestion and scraping through preprocessing, normalization, and storage
Implement and enforce data hygiene standards so analytical datasets are cleanly integrated, well-documented, and easily accessible across the Insights & Analytics team
Operationalize and productionize advanced analytics workflows in Python and SQL including feature engineering, model scoring, and metric computation
Develop and maintain derived metrics and indices that can be reused across clients and products
Architect and monitor analytics systems ensuring accuracy, reliability, and performance at scale
Integrate third-party analytics tools and media data sources (e.g., social media APIs, alternative datasets) into the PublicRelay analytics stack
Implement rigorous logging, monitoring, and alerting for data pipelines and analytics services to catch issues early and minimize downtime
Apply core statistics and data science methods (regression, classification, clustering, time-series analysis, sampling, A/B testing) to support new metrics, models, and analytics features
Build and maintain ML workflows (training, evaluation, deployment) for tasks such as NLP, sentiment analysis, topic modeling, classification, and entity-level analytics
Design and implement AI- and LLM-powered agents to automate repetitive analytics tasks, data enrichment, tagging, and insight surfacing across large-scale media datasets

Fulltime

Enterprise AI Strategist

This is an early hire in the Deepgram For Restaurants business and the person wi...

Location

United States , San Francisco

Salary:

Not provided

Deepgram

Expiration Date

Until further notice

Requirements

Strong customer-facing instincts: can manage corporate relationships and can anticipate and avoid issues, deftly de-escalate problems, and build confidence and evangelical support from customer decision makers
Deep curiosity and operational empathy — loves to spend time in-store where the magic happens and you think of yourself as an AI user anthropologist
Although this is not explicitly a product management role, you have a product management “vibe” and any engineer interfacing with you would think you are a product manager
High slope: Learns fast, goes beyond role boundaries, thrives in ambiguity, play maker orientation, focus on doing what is right, intense need to win

Job Responsibility

Deeply understand our customers business – even better than they do – and be an expert on Deepgram’s product offerings
Partner with our Sales, Product, and Engineering to scope, build, and ship AI agents that handle thousands of customer interactions a day
Serve as the primary point of contact for large enterprise stakeholders and ensure flawless delivery of complex AI solutions across enterprise deployments
Monitor performance, adoption, and feedback from live deployments
Translate field insights into actionable product requirements for eng/AI teams
Help define and refine ROI metrics that drive large expansion deals

What we offer

Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades

Fulltime

Technical Lead

Springboard is a six-week internal accelerator run by the AI Studio, designed to...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

Full-stack AI development proficiency: own the complete solution across data, AI pipeline, API, and UI layers without requiring additional engineering support.
LLM integration and orchestration: hands-on experience building production-grade AI pipelines including tool use and function calling, retrieval-augmented generation (RAG), structured output handling, streaming, and multi-step agentic workflows.
AI-native application development: proficiency with rapid development platforms (e.g., Lovable, Bolt, v0) for fast front-end prototyping and end-to-end application assembly.
Workflow automation and integration: experience with event-driven orchestration and low-code/no-code integration platforms (e.g., n8n, Make, Zapier) for connecting enterprise systems, transforming data, and building automated pipelines without custom middleware.
Cloud infrastructure: proficient deploying and operating services in AWS sandbox environments including compute, managed AI services, object storage, and serverless functions (e.g., Lambda, API Gateway, Bedrock).
API and systems integration: strong REST and webhook fluency, OAuth and API key authentication patterns, and JSON/data transformation for connecting to enterprise systems.
Ability to evaluate and adopt new AI tooling rapidly
this stack evolves and you are expected to keep pace.

Job Responsibility

Architect and build one to two full-stack AI prototypes per cohort inside the sandbox (AWS), selecting and configuring the appropriate AI development stack for the use case.
Translate use case requirements and executive input into a scoped technical architecture, making deliberate build-vs-configure-vs-integrate decisions that are achievable within the sprint.
Design and implement AI pipelines using available LLM APIs (e.g., Claude, OpenAI, Bedrock), including prompt engineering, tool use and function calling, RAG architectures, and agentic workflow patterns as appropriate to the use case.
Build functional front-end interfaces using AI-native rapid development platforms (e.g., Lovable, Bolt, v0) and wire back-end logic and data flows to deliver a complete, demo-ready application.
Implement workflow automation and system integration using orchestration platforms (e.g., n8n, Make, Zapier) to connect enterprise data sources, APIs, and downstream systems.
Develop prototypes that are stable, clearly scoped, and capable of running live in front of executive audiences without failure.
Iterate rapidly based on AI Strategist and executive feedback throughout Weeks 2 through 6, treating their input as product requirements.
Assess and articulate the production gap: what was built in the sandbox versus what a production deployment requires across integration, data governance, security, and scale.
Contribute technical input to the build-vs-buy recommendation, Product Requirements Document, and AIRB submission materials.
Document architecture decisions, tool selections, API configurations, and implementation details in the Handoff Package so engineering teams can continue the work after Demo Day.

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Agent Deployment Strategist

Amigo

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 20, 2026

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