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RemoteUS

Forward Deployed Product Manager

J
jobgether
Формат
Remote
О роли

Описание вакансии

About the company

This

position

is

listed

on

behalf

of

a

partner

company,

who

manages

all

applications

and

next

steps.

Our

partner

is

looking

for

a

Forward

Deployed

Product

Manager

based

in

the

United

States

.

This

is

an

exciting

opportunity

for

a

customer-focused

product

professional

to

help

transform

complex

customer

support

operations

through

advanced

AI-powered

solutions.

You

will

manage

a

portfolio

of

growth

accounts,

lead

product

deployments,

and

ensure

customers

achieve

measurable

business

outcomes

from

intelligent

customer

service

automation.

Working

closely

with

engineering

teams

and

customer

stakeholders,

you

will

translate

operational

challenges

into

practical

solutions

that

improve

efficiency,

customer

experience,

and

business

performance.

You

will

take

a

hands-on

approach

to

investigating

issues,

building,

testing,

and

deploying

product

improvements

using

AI-powered

development

tools.

A

key

part

of

the

role

involves

empowering

customers

to

manage

and

optimize

their

own

AI

workflows

while

identifying

opportunities

for

account

expansion.

You

will

also

bring

customer

insights

back

to

the

product

team

to

help

shape

future

developments

and

solve

recurring

challenges

at

scale.

This

remote

opportunity

offers

significant

ownership,

exposure

to

innovative

AI

technology,

and

the

chance

to

make

a

meaningful

impact

in

a

fast-growing,

collaborative

startup

Responsibilities

environment.

Accountabilities

Customer

Deployment

and

Implementation:

Lead

end-to-end

deployments

for

assigned

customers,

collaborating

with

Forward

Deployed

Engineers

and

customer

stakeholders

to

define

implementation

plans,

establish

priorities,

and

align

on

measurable

success

criteria.

Account

Management

and

Growth:

Own

a

portfolio

of

growth

accounts

after

launch,

monitoring

product

performance,

adoption,

retention,

and

usage

against

contractual

commitments

while

identifying

opportunities

to

expand

existing

partnerships.

Product

Configuration

and

Optimization:

Investigate

customer

challenges,

identify

opportunities

to

improve

AI-powered

customer

support

workflows,

and

independently

build,

test,

and

deploy

solutions

into

production

in

collaboration

with

engineering

teams.

Customer

Enablement:

Train

and

empower

customer

teams

to

build,

test,

and

optimize

their

own

AI-powered

support

workflows,

enabling

them

to

become

more

autonomous

and

achieve

increasing

value

from

the

platform.

AI-Powered

Problem

Solving:

Use

available

AI

tools

and

development

agents

to

analyze

issues,

investigate

conversation

logs,

test

solutions,

and

accelerate

implementation

without

depending

on

engineering

resources

for

every

change.

Business

Development

and

Expansion:

Build

trusted

relationships

with

customer

stakeholders,

identify

new

use

cases,

develop

business

cases

for

additional

deployments,

and

demonstrate

how

further

automation

can

improve

operational

outcomes.

Cross-Functional

Product

Collaboration:

Communicate

customer

needs,

recurring

challenges,

and

improvement

opportunities

to

the

Product

team,

supporting

prioritization

and

following

key

initiatives

through

to

delivery.

Customer

Performance

and

Value

Delivery:

Monitor

deployment

effectiveness,

identify

opportunities

to

improve

automation

quality,

and

ensure

solutions

align

with

customer

policies,

business

objectives,

and

operational

requirements.

Scalable

Solutions

and

Continuous

Improvement:

Recognize

patterns

across

customer

accounts

and

help

develop

reusable

solutions

that

reduce

repetitive

work,

improve

implementation

efficiency,

and

strengthen

the

overall

customer

experience.

Requirements

Requirements

Relevant

Professional

Experience:

At

least

two

years

of

experience

owning

customer

outcomes

in

account

management,

customer

success,

consulting,

implementation,

product

management,

operations,

or

a

related

field.

Demonstrated

accountability

for

results

is

more

important

than

a

specific

job

title.

Customer

Relationship

Management:

Proven

ability

to

establish

trusted

relationships

with

senior

customer

stakeholders,

understand

their

business

priorities,

and

contribute

to

customer

retention

and

account

growth.

Startup

and

Scale-Up

Experience:

Comfort

working

in

a

fast-paced,

evolving

environment

where

processes

are

still

being

developed

and

individuals

are

expected

to

take

initiative

and

adapt

quickly.

Practical

AI

Experience:

Hands-on

experience

building

with

AI

tools

or

deploying

AI-powered

solutions,

with

the

ability

to

evaluate

their

effectiveness,

understand

their

limitations,

and

explain

what

has

worked

in

practice.

Technical

Problem-Solving:

Ability

to

investigate

technical

and

operational

issues

independently

by

working

with

API

documentation,

conversation

logs,

usage

data,

and

other

relevant

information.

Product

Implementation

and

Adoption:

Experience

helping

customers

or

colleagues

realize

measurable

value

from

complex

products

through

implementation,

configuration,

training,

and

continuous

improvement.

Analytical

and

Strategic

Thinking:

Ability

to

identify

root

causes,

evaluate

potential

solutions,

prioritize

opportunities,

and

connect

product

improvements

to

measurable

customer

and

business

outcomes.

Communication

and

Collaboration:

Strong

interpersonal

skills

and

the

ability

to

coordinate

effectively

with

customers,

engineers,

and

product

teams

while

translating

complex

requirements

into

actionable

plans.

Ownership

and

Initiative:

A

proactive,

resourceful

approach

to

managing

multiple

accounts,

solving

problems,

and

delivering

results

without

waiting

for

detailed

instructions.

Preferred

Industry

Experience:

Experience

in

fintech,

healthcare,

or

another

regulated

industry

is

advantageous,

particularly

in

environments

where

accuracy,

security,

and

compliance

are

critical.

Additional

Advantages:

Experience

contributing

customer

insights

to

product

roadmaps

or

deploying

AI

products

that

have

delivered

measurable

business

results

is

a

plus.

Growth

Mindset:

Curiosity,

adaptability,

and

a

genuine

interest

in

learning

new

technologies

and

helping

customers

improve

how

they

operate.

Conditions

Benefits

Remote

flexibility:

Work

remotely

from

the

United

States,

with

a

flexible

approach

to

working

hours

that

supports

work-life

balance.

Competitive

growth

opportunities:

Join

an

early-stage,

rapidly

growing

organization

where

you

can

influence

product

direction,

customer

strategy,

and

internal

processes.

Accelerated

career

development:

Performance

and

promotion

opportunities

are

reviewed

regularly,

with

leadership

evaluating

progress

and

recognizing

strong

contributions

approximately

every

six

weeks.

AI-native

work

environment:

Access

to

AI

tools,

including

Claude

Code,

with

unrestricted

usage

and

opportunities

to

develop

practical

skills

in

emerging

AI

technologies.

Company-wide

retreats:

Twice-yearly

company

gatherings

in

Hawaii,

bringing

distributed

teams

together

to

collaborate,

build

new

ideas,

and

strengthen

working

relationships.

Collaborative

culture:

Work

in

a

low-ego,

high-trust

environment

that

values

curiosity,

accountability,

inclusion,

and

continuous

learning.

Meaningful

ownership:

Take

responsibility

for

customer

outcomes

and

help

shape

how

AI

transforms

complex

support

operations

across

multiple

industries.

Hands-on

learning:

Gain

exposure

to

real-world

AI

deployments,

technical

problem-solving,

customer

strategy,

and

product

development.

Respectful

recruitment

experience:

Participate

in

an

interview

process

that

includes

informal

conversations

and

a

paid

work

trial

of

approximately

two

days,

allowing

both

parties

to

assess

the

fit

through

practical

collaboration.

Стек и навыки

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