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Salary
$145k – $185k per year
Location
Remote (United States)
Seniority
Senior · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Talkiatry is a digital mental health platform headquartered in New York City and established in 2020. The company provides virtual psychiatric services, including diagnostic evaluations, medication management, and talk therapy, for conditions such as ADHD, anxiety, and depression. It operates as an in-network provider with major insurance carriers across the United States, focusing on the delivery of psychiatric care through a remote clinical workforce.

We are seeking a Senior Lifecycle Marketing Manager to own measurable performance improvements across the full patient lifecycle, spanning onboarding, activation, early care, and long-term retention. This is a high-impact, highly visible role at a critical moment in Talkiatry's growth, sitting at the intersection of data, experimentation, and patient experience.

You will design, execute, and analyze experiments and targeted initiatives to improve intake and activation rates, accelerate early care progression, and strengthen ongoing engagement. You will bring an experimentation-first mindset and a genuine curiosity for how emerging AI and machine learning capabilities can accelerate lifecycle performance, from smarter segmentation to predictive engagement.

You will work closely with Operations, Product, Data Engineering, Marketing Operations, and Creative to enable event-driven programs, optimize lifecycle performance across channels, and reduce operational friction across the patient and provider lifecycles.

About Talkiatry:

Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.

Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly - we’re redefining how behavioral healthcare is delivered in America.

Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.

You will:

Experimentation, Optimization, & AI

  • Design and execute structured A/B and multivariate tests across email, SMS, and in-app channels, building experimentation roadmaps tied directly to lifecycle KPIs like No show late cancel, visit completion, and retention

  • Analyze funnel performance to identify gaps, diagnose segment and state-level variation, and translate findings into prioritized, data-backed improvements

  • Actively test and evaluate AI-powered capabilities within the lifecycle stack, including send-time optimization, predictive segmentation, dynamic content, and propensity modeling, treating each as a hypothesis to be validated rather than a feature to be adopted

  • Partner with Data, Engineering, and Operations to integrate machine learning signals, including no-show risk, churn risk, and engagement propensity, into lifecycle triggers and journeys in ways that are measurable and incrementally proven

  • Bring analytical rigor and healthy skepticism to AI outputs, validate model performance, monitor for drift, and ensure AI-assisted decisions are always grounded in patient outcomes and business impact

Data & Measurement

  • Own the analytical layer for lifecycle performance, building, maintaining, and evolving reporting frameworks and dashboards that give the team a clear, real-time view of lifecycle health

  • Write SQL queries and partner with Analytics and BI teams to surface actionable insights from patient behavior, funnel performance, and experiment results

  • Set the measurement standard for the team by defining success metrics, ensuring proper instrumentation, and holding experiments to an incrementality bar before results are acted on

  • Diagnose state-level and segment-level performance variation to identify where the lifecycle is working and where it needs attention

Cross-Functional Collaboration

  • Lead through influence across Product, Operations, Marketing Operations, Data Engineering, and Creative, driving alignment across technical and non-technical stakeholders on shared lifecycle priorities

  • Partner with Technical Lifecycle and Marketing Operations to design, instrument, and launch experiments with the right data infrastructure in place

  • Collaborate with Creative on messaging hypotheses, bringing behavioral data and patient insights to inform content strategy

  • Align with Product and Product Marketing to integrate behavioral and product signals into lifecycle programs, ensuring the patient experience is coherent across channels

You have:

  • 5 to 8 or more years of experience in growth, lifecycle, or performance marketing with a track record of driving measurable outcomes

  • Strong SQL proficiency and comfort operating in data warehouses, with Snowflake experience preferred

  • Experience designing, measuring, and iterating on structured experiments, with a clear understanding of what incrementality means and why it matters

  • Deep familiarity with cohort analysis, funnel diagnostics, and segment-level performance variation

  • A genuine curiosity about AI and ML applications in lifecycle marketing, including predictive modeling, dynamic content, propensity scoring, and intelligent automation, paired with the analytical rigor to evaluate them critically rather than adopt them uncritically

  • Comfort testing and forming opinions on new tools quickly, without waiting for a perfect use case to start learning, and the ability to separate real lift from noise

  • Strong problem-solving skills and the ability to translate complex data into clear, concise business recommendations that influence prioritization and strategy

Why Talkiatry:

  • Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care

  • Collaborative environment: be part of building something from the ground up at a fast-paced startup

  • Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!

  • Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands

  • It all comes back to care: we’re a mental health company, and we put our team’s well-being first

Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work.

At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.

We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

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